# Jake Garrison

> Jake Garrison, AI research engineer at Google working on health agents, foundation models, self-improving AI, and edge AI. Resume, projects, and papers.

I work on health agents and foundation models, and more recently on self-improving AI. I studied Electrical and Computer Engineering at the University of Washington as an undergraduate and specialized in machine learning, computer vision, and signal processing for graduate school. I was born and raised in Spokane, WA and am now living in Seattle. In my free time, I build various open source projects from software to embedded devices to analog music gear. I've worked in labs, studios, garages, startups and coorperations in the Pacific Northwest and Bay Area.

**Author Names:** Jake Garrison (also published as Jacob Garrison and Jacob H. Garrison). **Current Role:** AI Research Engineer at Google. **Alma Mater:** University of Washington (M.S. & B.S. ECE/EE). **Location:** Seattle, WA.

**Research & Technical Domains:** Health agents, AI agents, Multi-agent systems, Foundation models, Large language models, Self-improving AI, Automated AI research, Health acoustics, Audio representation learning, Wearable sensing, Edge AI, Digital signal processing, Computer vision, Robotics and physics simulation.

**Education & Academic Teaching:**
- **University of Washington Graduate (M.S.) (2016-2018):** M.S. in Electrical and Computer Engineering — Academically shifted focus to computer science, machine learning, on-device AI, and mobile health sensing. Researcher at the [UbiComp lab](https://ubicomplab.cs.washington.edu/) focusing on health screening and sensing mobile applications; Authored thesis on smartphone sound-based spirometry powered by AI and machine learning; Research led to joining Senosis Health, an AI health startup subsequently acquired by Google.
- **University of Washington Undergraduate (B.S.) (2011-2016):** B.S. in Electrical Engineering — Academically focused on core electrical engineering, signal processing, digital systems, and automotive technology. Received minors in Digital Art (DXArts) and Mathematics. Led autonomous driving and in-vehicle display research for the [UW EcoCar team](https://web.archive.org/web/2016/http://uwecocar.com/); EcoCAR research directly led to a firmware internship at [Tesla](https://www.tesla.com/).
- **University of Washington Guest Lectures (2023-Present):** Invited guest lecturer for the Embedded Systems Capstone course (CSE/EE 475) while working as a researcher at Google Health. Lectures cover on-device artificial intelligence, machine learning, product and hardware engineering, and microcontrollers. Links: [Embedded AI/ML Slides (2025)](https://jakegarrison.me/doc/Embedded_AI_ML_475_Fall_2025.pdf), [Embedded Platforms Slides (2024)](https://jakegarrison.me/doc/Embedded_Platforms_475_Fall_2024.pdf), [Microcontrollers Slides (2024)](https://jakegarrison.me/doc/Embedded_Microcontroller_slides_475_Fall_2024.pdf).

**Work Experience:**
- **Google Health Research (2017-Present):** Combining artificial intelligence with consumer hardware to create technology that improves health outcomes. Commercialized UbiComp lab research including BiliCam, SpiroSmart, and CoughSense; Developed audio, radar, and sonar algorithms for cough and respiration sensing shipped on Pixel Phones and Nest Hub; Developed remote care COVID-19 diagnostic and data science tools; Trained multimodal audio and wearable sensor foundation models (HeAR, AudioFM, SensorFM, SensorLM, LSM); Built personal health agents, multi-agent systems, and self-improving AI for automated scientific discovery (ERA, Codegen Classroom). Links: [Website](https://health.google/health-research/), [My Research Profile](https://research.google/people/jake-garrison/), [My Patents](https://patents.google.com/?inventor=%22Jacob+Garrison%22,%22Jake+Garrison%22&assignee=Google+Llc&after=priority:20170101).
- **Aigen (2020-2023):** Early collaborator with founders pre-funding, currently an advsor helping with AI training, computer vision, reinforcement learning and on-device sensing and processing. Links: [Website](https://www.aigen.io/), [YouTube](https://www.youtube.com/watch?v=tGNrOVXd3Es&t=4s).
- **Senosis (2017):** Worked as a software developer on commercializing mobile health research, aquired by Alphabet (Google). Involved on device machine learning for image, audio, and other mobile modalities.
- **UbiComp Lab (2016-2018):** The ubiquitous computing (UbiComp) research lab, led by Prof. Shwetak Patel, focuses on many areas of ubiquitous computing including novel user interface technology, energy sensing, low-power sensing, health sensing, and activity recognition by applying expertise in sensing, signal processing, embedded systems, circuits, and human-computer interaction. Close collaborations with Microsoft Research, Oculus Research, Intel, Google, and many other companies. Using signal processing and machine learning to measure lung health and screen for obstructive lung disease on a mobile phone; Designing a mechanical pulmonary system; Researching methods to measure blood pressure via mobile phone camera; Collect data from patients and students; Mentor undergrad students. Links: [Website](https://ubicomplab.cs.washington.edu/).
- **Puppy.ai (2015-2018):** An iOS dog breed detection app assisted by on-device deep learning powered by Tensorflow. puppy.ai is available in the app store. Worked on a small, effective international team of three. Trained Tensorflow model and built mobile engine; Designed and prototyped iOS app and web app [(App Store link)](https://web.archive.org/web/20170518130122/https://itunes.apple.com/us/app/puppy.ai/id1207505795?mt=8). Links: [Website](https://puppyai.github.io/).
- **rtunes.xyz (2016-2019):** Currently Offline — Created open source music player that generates hundreds of playlists and stations based on crowed sourced data from Reddit. Select playlists that answer questions such as "What's your favorite song in a language you don't speak", or get a live feed of music as people around the world post it. Open source and used by thousands of people; Built web and mobile apps with React.js; Distributed desktop app powered by Electron.
- **Haiku Deck (Summer 2016):** A presentation iOS and Web app Seattle startup used by millions. It features Zuru, an AI platform for presentation automation. I contributed to research and development for the Zuru service and its assistant features that generate presentations from external content such as wikipedia or outlines. Worked on the presentation assistant, Zuru; Web development mostly with React and Node. Links: [Demo](https://www.haikudeck.com/zuru).
- **Driver Awareness System (2015-2016):** Founded and lead a student team designing a full-fledged driver awareness system to monitor a driver's attention using metrics such as distraction, sleep, phone usage and happiness. Metrics are based on realtime analysis of the drivers face and can be visualized on our UI. This concept won Innovative Use of Data (GE) and Best Travel Hack (Concur) at its original unveiling at DubHacks, then 3rd place Consumer Appeal at the national EcoCAR event. Entered in Amazon Catalyst for funding. Microsoft Kinect embedded vision hardware; Vision detection algorithms (C/C++, OpenCV, Matlab); Frontend data visualization (D3 and Javascript); Backend data filtering and processing (Python, ZMQ). Links: [Video Demo](https://www.youtube.com/watch?v=vnFNyZdMrwk), [Interactive Demo](https://uwecocar.github.io/UW-Infotainment/).
- **Urban Parking (2016):** City of Seattle Parking App project sponsored by the Seattle Department of Transportation to forecast available parking and route drivers to open spots. Forecasting is based on 45 million historical transactions. Future collaboration with the Google Sidewalks Project. Submitted to UW CoMotion for further funding. Custom machine learning algorithm; Web frontend, service and Android app development; Several Presentations and project pitches to investors and educators.
- **Tesla Integration Team (Summer 2015):** Systems Integration intern on a small multidisciplinary team focused solely on the development of the Model X falcon doors and sensing. Wrote production sensor firmware code; Contributed to Model X: controls, firmware, sensing, design, validation and testing; Created custom data collection and visualization tools; Built custom DC motor dynamometer (for falcon doors) and shared the design with SpaceX engineers; Presented and submitted reports to engineering VPs including Elon; Set up and documented Phase Space 3d motion modeling system. Links: [Model X](https://www.teslamotors.com/modelx).
- **Advanced Driver Assist Lead (2015-2016):** Lead the autopilot research team for EcoCAR 3 which aims to design and integrate advanced autopilot features on a 2016 Camaro. Our system is capable of realtime object detection including sign, lane, vehicle and pedestrian detection. Received Second Place for Driver Assist technology (tie). Project Management and leadership; Developed realtime vision applications based on the YOLO convolutional neural network framework and deployed on the NVIDIA Jetson TX1 Embedded Systems Module; Embedded Freescale S32V hardware for CAN signal and vision processing; Employed sensors such as stereo video, ultrasonic, gps and radar. Links: [EcoCAR 3](http://ecocar3.org/), [Youtube Channel](https://www.youtube.com/playlist?list=PLWptjpDqazOymOtZTLaiW0OCP8Qe2uAKr).
- **Tesla Power Electronics (Summer 2014):** Power Electronics intern focused on the high voltage electric system for the Model S P85D Insane mode. Injection molded, 3d printed and machined part design and tooling; Testing and validation on existing parts (temperature and current cycling); R+D for future technology (specifically high voltage fuses, contactors and charging plugs); Creating and implementing professional CAD, drawings, schematics, and PCB designs. Links: [Model S](https://www.tesla.com/models).
- **Electrical Lead (2013-2015):** Involved in the competition for all three years and became electrical lead. We were awarded first place electrical team for multiple years. Lithium ion battery pack design; Leadership and project management; High voltage training, fusing, simulation, harnesses; Modeled high and low voltage systems in Simulink, Matlab and NX CAD; Created and implemented professional schematics and wire harnesses; Collaboration with multidisciplinary students, faculty and industry. Links: [EcoCAR 2](https://web.archive.org/web/2016/http://uwecocar.com/).
- **Focused Ion Beam (2013-2014):** Research Assistant for Professor Bruce Darling, UW Electrical Engineering. Simulated circuit boards in Multisim and Labview; Designed PCBs with Ultiboard; Worked with one of the few remaining FIB machines.
- **Verellen Amplifiers (Summer 2013):** Worked as an apprentice in a Fremont, Seattle startup that builds custom boutique tube amplifiers and analog distortion pedals. Board populating and soldering; Amplifier schematic design. Links: [Website](https://web.archive.org/web/20210228120612/https://www.verellenamplifiers.com/).
- **Custom Music Equipment (2011-2014):** Designed, built and sold guitar pedals and analog audio FX for local bands and friends. Learned analog electronics fundamentals; Became familiar with PCB design, entrepreneurship and part sourcing; Lots of troubleshooting and breadboard work.
- **Electric Car Conversion (2010-2012):** I designed, funded and converted a gas powered Volkswagen GTI to fully electric while in highschool. Awarded Washington Society of Engineering scholarship upon completion. Designed and hand built the high voltage motor controller; Sourced all of the new components, sold the old; Operated with a small, personal budget, funded by my bakery job; Built custom metal components and wiring harnesses. Links: [Website](https://electricgti.blogspot.com/).

**Skills & Engineering Stack:**
- JAX, PyTorch, TensorFlow, Python, C/C++, Embedded C, MATLAB, SuperCollider, JavaScript, SQL
- Signal, vision, sound, language and medical data processing
- Machine learning, large language models (LLMs), multimodal foundation models, AI agents
- Self-improving AI, multi-agent systems, automated scientific research (autoresearch)
- Data science, portfolio pipeline engineering, web scraper engines
- Modeling, MuJoCo physics simulations, and HIL loop controls
- Embedded systems firmware development, RTOS, on-device edge AI
- Neural network architectures (Transformers, CNNs, Audio & Sensor Representations)
- Analog and digital circuit design (PCBs, tube amplifiers)
- Acoustic engineering & biosignal sensing (sleep/respiration sonar, HeAR, AudioFM, SensorFM)
- Vehicle controls (powertrain control, hybrid-electric systems, CAN bus)
- Autonomous systems (lane detection, self-driving simulators)
- Additive manufacturing (3D printing, rapid hardware prototyping)

**Selected Awards:** Amazon Catalyst runner-up (2016); Best Travel Hack (2015); Most Innovative Use of Data (2015); 2nd Place Driver Assist Technology (2015); 2nd Place EcoCar Team Overall (2013); 1st Place Electrical Presentation (2012-14); WA Society of Engineers Scholarship Recipient (2010).

**Interests:** Sound design, music synthesis, SuperCollider composition, and music production; Digital art, minor in Digital (DX) Arts; Embedded AI instruction, teaching, academic guest lecturing; Skiing, biking, hiking; Home brewing, fermentation chemistry; Number theory, cryptography; Physiology, respiratory sensing science.

**Topic Index:** JAX, PyTorch, TensorFlow, Machine Learning, Deep Learning, Foundation Models, Large Language Models, LLMs, AI Agents, Health Agents, Personal Health Agent, Multi-Agent Systems, AI Swarms, Self-Improving AI, Recursive Self-Improvement, Automated AI Research, Autoresearch, Empirical Research Assistance, ERA, Codegen Classroom, Frontier AI, Wearable Sensors, SensorFM, SensorLM, LSM, Large Sensor Models, Health Acoustics, HeAR, Health Acoustic Representations, AudioFM, Digital Signal Processing, DSP, Audio Embeddings, Audio Representations, Sleep Sensing, Respiration Sensing, Mobile Health, Contactless Sensing, Computer Vision, OpenCV, Analog Electronics, Tube Amplifiers, PCB Design, Firmware Development, Autonomous Driving, Hybrid Electric Vehicles, TORCS Simulator, SuperCollider, Ableton Live parser, vocal synthesis, speech synthesis, pitch detector, instrument tuner, audio separate, cocktail party separation, MuJoCo, reinforcement learning, physics simulation, ESP32 LLM, micro LLM, Edge AI, On-Device AI, tokenizer, pre-training, large wearable models, biomarkers, probabilistic reasoning, Power electronics, high voltage systems, CAN bus, battery pack design, microcontrollers, FPGA, digital circuits, Plex API, Last.fm scrobble sync, Reddit scraper, housing list scraper, portfolio pipeline

## Profiles

- [Personal Website](https://jakegarrison.me/): Canonical homepage and portfolio
- [Google Research Profile](https://research.google/people/jake-garrison/): Official Google Research page
- [Google Patents Search](https://patents.google.com/?inventor=%22Jacob+Garrison%22,%22Jake+Garrison%22&assignee=Google+Llc&after=priority:20170101): Granted and pending Google patents
- [GitHub (@jake-g)](https://github.com/jake-g): Open-source repositories and AI code
- [LinkedIn](https://www.linkedin.com/in/garrisonjake): Professional profile and career history
- [Google Scholar](https://scholar.google.com/citations?user=kXNcQegAAAAJ): Citation metrics and full bibliography

## Publications

- [AudioFM: Towards General Purpose Audio Representation Learning](https://arxiv.org/abs/2610.34183): (10/2026) — arXiv preprint arXiv:2610.34183, 2026; Authors: Y Li, R Zhang, A Wang, E Fonseca, D Ellis, Z Li, SA Lee, T Pang, ...
- [The Anatomy of a Personal Health Agent](https://www.nature.com/articles/s41586-026-11161-8): (10/2026) — Nature, 1-11, 2026; Authors: AA Heydari, K Gu, V Srinivas, H Yu, A Paruchuri, Z Zhang, Y Zhang, Q He, ...; 45 citations — Links: [Paper (arXiv)](https://arxiv.org/abs/2508.20148), [Blog](https://research.google/blog/the-anatomy-of-a-personal-health-agent/)
- [Towards a General Intelligence and Interface for Wearable Health Data](https://arxiv.org/abs/2605.22759): (05/2026) — arXiv preprint arXiv:2605.22759, 2026; Authors: G Narayanswamy, MA Xu, AA Heydari, S Abdel-Ghaffar, M Guerard, ...; 4 citations — Links: [Blog](https://research.google/blog/sensorfm-towards-a-general-intelligence-and-interface-for-wearable-health-data/)
- [An AI System to Help Scientists Write Expert-Level Empirical Software](https://doi.org/10.1038/s41586-026-10658-6): (09/2025) — Nature, 1-3, 2026; Authors: E Aygün, A Belyaeva, G Comanici, M Coram, H Cui, J Garrison, ...; 105 citations — Links: [Paper (arXiv)](https://arxiv.org/abs/2509.06503)
- [SensorLM: Learning the Language of Wearable Sensors](https://arxiv.org/abs/2506.09108): (06/2025) — Advances in Neural Information Processing Systems 38, 46813-46849, 2026; Authors: Y Zhang, K Ayush, S Qiao, AA Heydari, G Narayanswamy, M Xu, ...; 114 citations — Links: [Paper (PDF)](https://jakegarrison.me/doc/SensorLM_Learning_the_Language_of_Wearable_Sensors.pdf)
- [LSM-2: Learning from Incomplete Wearable Sensor Data](https://arxiv.org/abs/2506.05321): (06/2025) — arXiv preprint arXiv:2506.05321, 2025; Authors: MA Xu, G Narayanswamy, K Ayush, D Spathis, S Liao, SA Tailor, ...; 37 citations — Links: [Paper (PDF)](https://jakegarrison.me/doc/LSM_2_Learning_from_Incomplete_Wearable_Sensor_Data.pdf)
- [Assessment of Asthma Severity Using Remote Sensors: A Pilot Study](https://www.sciencedirect.com/science/article/abs/pii/S2213219825003198): (04/2025) — The Journal of Allergy and Clinical Immunology: In Practice, 2025; Authors: SL Rhoads, L Seluk, B Daryani, J Garrison, P Bonaccorsi, P Hosking, ...; 3 citations
- [Scaling Wearable Foundation Models](https://arxiv.org/abs/2410.13638): (10/2024) — International Conference on Learning Representations 2025, 59382-59413, 2025; Authors: G Narayanswamy, X Liu, K Ayush, Y Yang, X Xu, S Liao, J Garrison, ...; 107 citations — Links: [Paper (PDF)](https://jakegarrison.me/doc/Scaling_Wearable_Foundation_Models.pdf)
- [What Are the Odds? Language Models Are Capable of Probabilistic Reasoning](https://arxiv.org/abs/2406.12830): (06/2024) — Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024; Authors: A Paruchuri, J Garrison, S Liao, JB Hernandez, J Sunshine, T Althoff, ...; 37 citations — Links: [Paper (PDF)](https://jakegarrison.me/doc/What_are_the_odds_Language_Models_are_Capable_of_Probabilistic_Reasoning.pdf)
- [HeAR: Health Acoustic Representations](https://arxiv.org/abs/2403.02522): (03/2024) — arXiv preprint arXiv:2403.02522, 2024; Authors: S Baur, Z Nabulsi, WH Weng, J Garrison, L Blankemeier, S Fishman, ...; 47 citations — Links: [Slides](https://jakegarrison.me/doc/HeAR_Health_Acoustic_Representations.pdf)
- [Towards Accurate Differential Diagnosis with Large Language Models](https://doi.org/10.1038/s41586-025-08869-4): (11/2023) — Nature, 1-7, 2025; Authors: D McDuff, M Schaekermann, T Tu, A Palepu, A Wang, J Garrison, ...; 698 citations — Links: [Paper (arXiv)](https://arxiv.org/abs/2312.00164), [Paper (PDF)](https://jakegarrison.me/doc/Towards_Accurate_Differential_Diagnosis_with_Large_Language_Models.pdf)
- [Optimizing Audio Augmentations for Contrastive Learning of Health-Related Acoustic Signals](https://arxiv.org/abs/2309.05843): (09/2023) — arXiv preprint arXiv:2309.05843, 2023; Authors: L Blankemeier, S Baur, WH Weng, J Garrison, Y Matias, S Prabhakara, ...; 3 citations — Links: [Paper (PDF)](https://jakegarrison.me/doc/Optimizing_Audio_Augmentations_for_Contrastive_Learning_of_Health-Related_Acoustic_Signals.pdf)
- [Morbidity and Mortality from COVID-19 Postvaccination Breakthrough Infections](https://jakegarrison.me/doc/Morbidity_and_mortality_from_COVID-19_postvaccination_breakthrough_infections.pdf): (07/2022) — Paper; Authors: M AlQahtani, S Bhattacharyya, A Alawadi, HA Mahmeed, JA Sayed, ...; 40 citations
- [LuckyChirp: Respiration Sensing Using Cascaded Sonar](https://jakegarrison.me/doc/LuckyChirp_Opportunistic_Respiration_Sensing_Using_Cascaded_Sonar_on_Commodity_Devices.pdf): (05/2022) — 2022 IEEE International Conference on Pervasive Computing and Communications …, 2022; Authors: QS Xue, D Shin, A Pathak, J Garrison, J Hsu, M Malhotra, S Patel; 6 citations
- [Whosecough: In-the-Wild Cougher Verification Using Multitask Learning](https://jakegarrison.me/doc/Whosecough_In-the-Wild_Cougher_Verification_Using_Multitask_Learning.pdf): (11/2020) — ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020; Authors: M Whitehill, J Garrison, S Patel; 22 citations
- [FRILL: A Non-Semantic Speech Embedding for Mobile Devices](https://arxiv.org/abs/2011.04609): (11/2020) — arXiv preprint arXiv:2011.04609, 2020; Authors: J Peplinski, J Shor, S Joglekar, J Garrison, S Patel; 33 citations — Links: [Paper (PDF)](https://jakegarrison.me/doc/FRILL_A_Non-Semantic_Speech_Embedding_for_Mobile_Devices.pdf)
- [SpiroSound AI Master's Thesis](https://digital.lib.washington.edu/researchworks/items/7cfbfbb8-5737-4a9b-b6f6-65f4f8c526ae): (05/2018) — Thesis (UW) — Links: [Thesis (PDF)](https://jakegarrison.me/doc/spiro_thesis_final.pdf), [Slides](https://jakegarrison.me/doc/Spiro_Thesis_Presentation.pdf)
- [SpiroConfidence: Validity of Smartphone Spirometry](https://jakegarrison.me/doc/SpiroConfidence.pdf): (05/2018) — 2018 40th Annual International Conference of the IEEE Engineering in …, 2018; Authors: V Viswanath, J Garrison, S Patel; 46 citations
- [Carpacio: Distinguishing Driver and Passenger Touches](https://jakegarrison.me/doc/Carpaccio_Paper.pdf): (10/2017) — Proceedings of the 30th Annual ACM Symposium on User Interface Software and …, 2017; Authors: EJ Wang, J Garrison, E Whitmire, M Goel, S Patel; 23 citations
- [Wireless Routing in Hostile Environments](https://jakegarrison.me/doc/Wireless_Routing_EE418.pdf): (12/2014) — Report; Authors: J Garrison, J Goin, T Williamson

## Patents

- [System and method for summarizing health data for use by large language models](https://patents.google.com/patent/US20260179738A1): (06/2026) — US Patent App. 2026/0179738 A1 — Provided is a system for standardizing health data for use by machine-learned models in responding to user queries. — Note: 5 additional pending utility applications (filed 2023–2025) are currently non-public.
- [Method for detecting and classifying coughs or other non-semantic sounds](https://patents.google.com/patent/US11862188B2): (01/2024) — US Patent 11,862,188
- [Contactless cough detection and attribution](https://patents.google.com/patent/US11627890B2): (04/2023) — US Patent 11,627,890
- [Contactless sleep detection and disturbance attribution](https://patents.google.com/patent/WO2022035526A1): (02/2022) — WO Patent 2022035526A1

## Projects — Artificial Intelligence (AI/ML)

- [Codegen Classroom: Self-Improving Agents](https://github.com/google-research/codegen-classroom): (2026) — GitHub (Python)
- [MuJoCo Puppeteer Physics Sim](https://github.com/jake-g/mujoco-puppeteer): (2026) — GitHub (Python)
- [Health Sound Event Detector](https://huggingface.co/google/hear/blob/main/event_detector/README.md): (2025) — Hugging Face
- [ESP32 Tiny LLM](https://github.com/jake-g/esp32-llm): (2024) — GitHub (ESP32) (C) — Links: [GitHub (micro-llm)](https://github.com/jake-g/micro-llm), [Output](https://jakegarrison.me/image/esp32-llm-output.jpg)
- [HeAR: Health Acoustic Representations](https://github.com/Google-Health/google-health/tree/master/health_acoustic_representations): (2024) — GitHub — Links: [Hugging Face](https://huggingface.co/google/hear-pytorch), [Slides](https://jakegarrison.me/doc/HeAR_Health_Acoustic_Representations.pdf), [Blog](https://blog.google/technology/health/ai-model-cough-disease-detection/)
- [Microcontroller Tutorial](https://github.com/jake-g/microcontroller-tutorial): (2024) — GitHub — Links: [Slides](https://jakegarrison.me/doc/Embedded_Microcontroller_slides_475_Fall_2024.pdf)
- [emojii-flow](https://jake-g.github.io/emojii-flow/): (2024) — Webapp — Links: [GitHub](https://github.com/jake-g/emojii-flow)
- [jazzfuzz music](https://jake-g.github.io/jazzfuzz/): (2023) — Webapp — Links: [GitHub](https://github.com/jake-g/jazzfuzz)
- [FRILL: On-Device Audio Representations](https://research.google/blog/frill-on-device-speech-representations-using-tensorflow-lite/): (2020) — Blog — Links: [Kaggle](https://www.kaggle.com/models/google/nonsemantic-speech-benchmark/tensorFlow2/frill-nofrontend/1?tfhub-redirect=true), [Paper](https://jakegarrison.me/doc/FRILL_A_Non-Semantic_Speech_Embedding_for_Mobile_Devices.pdf)
- [Evolution Simulator](https://jake-g.github.io/evolution-sim/): (2019) — Webapp — Links: [GitHub](https://github.com/jake-g/evolution-sim)
- [FreshAir Spiro Mobile App](https://jakegarrison.me/doc/SpiroConfidence.pdf): (2019) — Paper — Links: [Slides](https://jakegarrison.me/doc/Spiro_Fresh_Air_App_2019.pdf)
- [Neural Network Image Styling](https://github.com/jake-g/neural_image_styler): (2018) — GitHub — Links: [Colab](https://colab.research.google.com/drive/127iviQdFYMA2D5fV16MWvLxgLAo-iY3X)
- [Urban Parking App](https://jakegarrison.me/doc/Urban_Parking_Report_EE498.pdf): (2016) — Report — Links: [Poster](https://jakegarrison.me/doc/Urban_Parking_Poster.pdf)
- [Haiku Deck Zuru](https://www.haikudeck.com/zuru): (2016) — Website
- [Wikipedia Summarizer](https://github.com/jake-g/wikipedia-summarize): (2016) — GitHub
- [Driver Awareness System](https://uwecocar.github.io/UW-Infotainment/): (2015) — Webapp — Links: [GitHub](https://github.com/jake-g/Driver-Awareness), [Poster](https://jakegarrison.me/doc/Consumer_Appeal_Poster.pdf), [YouTube](https://www.youtube.com/watch?v=vnFNyZdMrwk&list=PLWptjpDqazOymOtZTLaiW0OCP8Qe2uAKr), [DevPost](http://devpost.com/software/distractedness)
- [phone.ai](https://jakegarrison.me/doc/Smartphone_identification.pdf): (2014) — Paper — Links: [Poster](https://jakegarrison.me/doc/Smartphone_identification_poster.pdf)
- [puppy.ai](https://web.archive.org/web/20170518130122/https://itunes.apple.com/us/app/puppy.ai/id1207505795?mt=8): (2014) — iOS App — Links: [Website](https://puppyai.github.io/), [YouTube](https://www.youtube.com/watch?v=gFdy60YwJBo)

## Research Blogs & Product Releases

- [Foundation Models for TB Screening](https://research.google/blog/bringing-foundational-models-to-the-front-lines-of-tb-screening/): (10/2026) — Blog — HeAR / Foundational Models for TB Screening
- [The Anatomy of a Personal Health Agent](https://research.google/blog/the-anatomy-of-a-personal-health-agent/): (10/2026) — Blog — Nature Personal Health Agent (PHA) paper — Links: [Paper (Nature)](https://www.nature.com/articles/s41586-026-11161-8), [Paper (arXiv)](https://arxiv.org/abs/2508.20148)
- [SensorFM: Wearable Health AI](https://research.google/blog/sensorfm-towards-a-general-intelligence-and-interface-for-wearable-health-data/): (05/2026) — Blog — SensorFM foundation model — Links: [Paper (arXiv)](https://arxiv.org/abs/2605.22759)
- [Empirical Research Assistance (ERA)](https://research.google/blog/empirical-research-assistance-era-from-nature-publication-to-catalyzing-computational-discovery/): (05/2026) — Blog (Nature) — Nature software paper (Empirical Research Assistant) — Links: [Blog (Use Cases)](https://research.google/blog/four-ways-google-research-scientists-have-been-using-empirical-research-assistance/)
- [Google Health Coach](https://blog.google/products-and-platforms/products/google-health/google-health-coach/): (05/2026) — Blog — Links: [Google Store](https://store.google.com/product/google_health_premium?hl=en-US), [Paper (arXiv)](https://arxiv.org/abs/2508.20148)
- [Fitbit Air](https://blog.google/products-and-platforms/devices/fitbit/fitbit-air/): (05/2026) — Blog
- [LLM Tree Search](https://research.google/blog/accelerating-scientific-discovery-with-ai-powered-empirical-software/): (09/2025) — Blog — Nature software paper (GIFT-Eval tree search)
- [Insulin resistance prediction from wearables](https://research.google/blog/insulin-resistance-prediction-from-wearables-and-routine-blood-biomarkers/): (08/2025) — Blog — Nature biomarkers discovery paper
- [SensorLM: Wearable sensors language](https://research.google/blog/sensorlm-learning-the-language-of-wearable-sensors/): (07/2025) — Blog — SensorLM foundation model
- [LSM-2: Learning incomplete sensor data](https://research.google/blog/lsm-2-learning-from-incomplete-wearable-sensor-data/): (07/2025) — Blog — LSM wearable foundation models
- [Scaling Wearable Foundation Models](https://research.google/blog/scaling-wearable-foundation-models/): (11/2024) — Blog — LSM-1 initiative
- [HeAR: Acoustic disease detection](https://blog.google/technology/health/ai-model-cough-disease-detection/): (08/2024) — Blog — HeAR (Health Acoustic Representations) - Product Announcement
- [HeAR: Hugging Face](https://huggingface.co/google/hear-pytorch): (08/2024) — Hugging Face
- [Aigen raises $12m to scale its fleet of solar-powered robots](https://agfundernews.com/aigen-raises-12m-to-scale-its-fleet-of-solar-powered-autonomous-robots-to-more-than-20000-acres): (11/2023) — Article (AgFunder) — Aigen Solar Ag-Robots Funding
- [Google AI is helping you sleep better](https://blog.google/products-and-platforms/devices/pixel/health-ai-better-sleep/): (03/2023) — Blog
- [Pixel: Cough and Snore Sound Detection](https://techcrunch.com/2022/10/06/the-pixel-7-will-have-a-snoring-and-coughing-detection-feature/): (10/2022) — Article (TechCrunch) — Links: [Support](https://support.google.com/pixelphone/answer/9137850#zippy=%2Ccheck-cough-and-snore-data)
- [Nest Hub: Sleep, Respiration, Cough Sensing](https://research.google/blog/contactless-sleep-sensing-in-nest-hub/): (11/2021) — Blog (Release) — Nest Hub sleep tracking algos — Links: [Blog (Sensing)](https://research.google/blog/enhanced-sleep-sensing-in-nest-hub/), [Blog (Sleep Lab)](https://blog.google/products/google-nest/sleeping-job-how-we-built-new-nest-hub/)
- [FRILL: On-device speech TF Lite](https://research.google/blog/frill-on-device-speech-representations-using-tensorflow-lite/): (06/2021) — Blog — FRILL / TRILL audio embeddings
- [Important household sounds become more accessible](https://blog.google/products-and-platforms/platforms/android/new-sound-notifications-on-android/): (10/2020) — Blog — Nest & Android Baby Cry / Dog Bark Alerts
- [Exclusive: Google buys Seattle health monitoring startup Senosis](https://www.geekwire.com/2017/exclusive-google-buys-seattle-health-monitoring-startup-senosis-bolstering-digital-health-push/): (08/2017) — Article (GeekWire) — Senosis Health Acquisition
- [Convert Wikipedia to a Presentation Automatically](https://blog.haikudeck.com/wikipedia-presentation/): (05/2017) — Blog — Haiku Deck Zuru Slide Automation
- [This is Tesla's D: an all-wheel-drive Model S with eyes on the road](https://www.theverge.com/2014/10/9/6955357/this-is-tesla-s-d-an-all-wheel-drive-car-with-eyes-on-the-road): (10/2014) — Article (The Verge) — Tesla Dual Motor & Autopilot Hardware Launch

## Lectures & Technical Presentations

- [Embedded AI/ML Lectures](https://jakegarrison.me/doc/Embedded_AI_ML_475_Fall_2025.pdf): Slides (AI/ML '25) — Links: [Slides (Platforms '24)](https://jakegarrison.me/doc/Embedded_Platforms_475_Fall_2024.pdf), [Slides (MCU '24)](https://jakegarrison.me/doc/Embedded_Microcontroller_slides_475_Fall_2024.pdf)
- [Consumer Product Engineering Lecture](https://jakegarrison.me/doc/Consumer_Product_Engineering_2020_Lecture.pdf): (2020) — Slides
- [Understanding the World Through Data Lecture](https://jakegarrison.me/doc/Understanding_World_Through_Data_2020_Lecture.pdf): (2020) — Slides
- [FreshAir Spiro Mobile App Presentation](https://jakegarrison.me/doc/Spiro_Fresh_Air_App_2019.pdf): (2019) — Slides
- [Spiro AI](https://jakegarrison.me/doc/Spiro_Thesis_Presentation.pdf): (2018) — Slides
- [Pitch Shift on DSP](https://jakegarrison.me/doc/Pitch_Shift_Pres.pdf): (2015) — Slides
- [Electric Chevy Camaro Electrical Presentation](https://jakegarrison.me/doc/Electrical_Presentation_UW_EcoCAR3.pdf): (2015) — Slides
- [Electric Chevy Malibu Electrical Presentation](https://jakegarrison.me/doc/Electrical_Presentation_UW_EcoCAR2.pdf): (2014) — Slides

## Optional

- [Market Pipeline](https://github.com/jake-g/market-pipeline): [Automation] — (2026) — GitHub (Python)
- [Plex Sync](https://github.com/jake-g/plex-sync): [Automation] — (2024) — GitHub (Python)
- [Seattle Housing Scraper](https://jake-g.github.io/home-scraper/): [Automation] — (2022) — Webapp — Links: [GitHub](https://github.com/jake-g/home-scraper)
- [last.fm Sync](https://github.com/jake-g/lastfm-sync): [Automation] — (2022) — GitHub (Python)
- [Ableton Project Parser](https://github.com/jake-g/ableton-parser): [Automation] — (2021) — GitHub (Python)
- [YouTube Music Sync](https://github.com/jake-g/ytmusic): [Automation] — (2019) — GitHub (Python)
- [Reddit Music Sub Scraper](https://github.com/jake-g/reddit-scraper): [Automation] — (2019) — GitHub
- [brew-sensors](https://github.com/jake-g/brew-sensors): [Automation] — (2019) — GitHub (Python) — Links: [Photos](https://photos.app.goo.gl/aTP5XVnkuWo9zkrE8)
- [Craigslist Bot](https://github.com/jake-g/craigslist-bot): [Automation] — (2017) — GitHub
- [Crypto Trader Bot](https://jakegarrison.me/#contact): [Automation] — (2017) — Contact for info
- [Altcoin Statistic Scraper](https://altcoins-code.github.io/altcoins/): [Automation] — (2017) — Webapp — Links: [GitHub](https://github.com/altcoins-code/altcoins/)
- [Pokemon Go Bot](https://github.com/pogodevorg/pgoapi): [Automation] — (2016) — GitHub
- [Image Scraper](https://github.com/jake-g/image-scrape): [Automation] — (2016) — GitHub
- [rtunes.xyz](https://github.com/jake-g/rtunes): [Automation] — (2016) — GitHub
- [Web Music Scraper](https://github.com/jake-g/audio-scrape/): [Automation] — (2015) — GitHub
- [Bankroll Bitfury ASIC Bitcoin Miner](https://bitfury.com/): [Automation] — (2014) — Website
- [terminal camera](https://github.com/jake-g/term-cam): [Image Processing] — (2015) — GitHub
- [Gaze Tracking](https://github.com/jake-g/gaze_traker): [Image Processing] — (2015) — GitHub
- [Reverse Image Search](https://github.com/jake-g/Image-Search): [Image Processing] — (2015) — GitHub
- [Cartoon Filter GUI](https://github.com/jake-g/cartoon_filter): [Image Processing] — (2015) — GitHub — Links: [Report](https://jakegarrison.me/doc/Cartoon_Filter_EE440.pdf)
- [Matlab Image Processing Tools](https://github.com/jake-g/image-processing-tools): [Image Processing] — (2015) — GitHub
- [Vocal Chord Synthesis](https://jake-g.github.io/vocal-chords/): [Audio Processing] — (2025) — Webapp — Links: [GitHub](https://github.com/jake-g/vocal-chords)
- [synth.py](https://github.com/jake-g/synth): [Audio Processing] — (2023) — GitHub
- [Raspberry Pi Synthesizer](https://github.com/zynthian): [Audio Processing] — (2019) — GitHub — Links: [Photos](https://photos.app.goo.gl/cCvraLzixzuVeePH8)
- [Ultrasound Motion Detector](https://jake-g.github.io/ultrasound-motion-webapp/): [Audio Processing] — (2018) — Webapp — Links: [GitHub](https://github.com/jake-g/ultrasound-motion-webapp), [Paper](https://ubicomplab.cs.washington.edu/pdfs/soundwave.pdf)
- [Realtime Pitch Shifter](https://github.com/jake-g/pitch_shift): [Audio Processing] — (2016) — GitHub — Links: [Report](https://jakegarrison.me/doc/Pitch_Shift_Report_EE443.pdf), [Slides](https://jakegarrison.me/doc/Pitch_Shift_Pres.pdf)
- [tuner.c](https://github.com/jake-g/tuner): [Audio Processing] — (2015) — GitHub
- [APC40 Controller Mods](https://photos.app.goo.gl/Rm7oQRXZ8AFieUh8A): [Audio Processing] — (2015) — Photos
- [Audio Separate](https://github.com/jake-g/audio-separate): [Audio Processing] — (2014) — GitHub
- [RC Car Composer](https://github.com/jake-g/Car-Composer): [Audio Processing] — (2014) — GitHub
- [Arduino Synthesizer](https://github.com/jake-g/Arduino-Synth): [Audio Processing] — (2014) — GitHub
- [Supercollider Compositions](https://github.com/jake-g/SuperCollider_Compositions): [Audio Processing] — (2014) — GitHub
- [Homemade Analog Audio](https://jakegarrison.me/image/pedal.jpg): [Audio Processing] — (2013) — Image
- [Verellen Amplifiers](https://web.archive.org/web/20210228120612/https://www.verellenamplifiers.com/): [Audio Processing] — (2013) — Website
- [AI, Gaming and Mining PC](https://pcpartpicker.com/builds/edit/?userbuild=mRZRsY): [Fabrication] — (2017) — PCPartPicker — Links: [Photos](https://photos.app.goo.gl/T9L65hVGtUaqLp746)
- [3D Printer](https://photos.app.goo.gl/zMqANZtkSiuW3wUK8): [Fabrication] — (2016) — Photos
- [3D Printed Gameboy Color Shell](https://jakegarrison.me/image/gameboy.jpg): [Fabrication] — (2013) — Image
- [Terrarium](https://photos.app.goo.gl/Y3d41Pic9AaNAE4k8): [Fabrication] — (2018) — Photos
- [Carpacio](https://jakegarrison.me/doc/Carpaccio_Paper.pdf): [Automotive] — (2017) — Paper — Links: [Poster](https://jakegarrison.me/doc/Carpacio_Poster.pdf)
- [Autonomous Vehicle Simulator](https://github.com/jake-g/Autonomous-Driving-Simulator): [Automotive] — (2016) — GitHub — Links: [YouTube](https://www.youtube.com/watch?v=vGdrySzDii4&list=PLWptjpDqazOymOtZTLaiW0OCP8Qe2uAKr)
- [Tesla Model X Falcon Doors](https://www.tesla.com/modelx): [Automotive] — (2015) — Website — Links: [YouTube](https://www.youtube.com/watch?v=1uR15k30a0U)
- [Lane Tracking](https://github.com/jake-g/lane-detection): [Automotive] — (2015) — GitHub — Links: [YouTube](https://www.youtube.com/watch?v=-vmnam3ergc&list=PLWptjpDqazOymOtZTLaiW0OCP8Qe2uAKr)
- [EcoCAR 3](http://ecocar3.org/washington/about-us/): [Automotive] — (2015) — Website
- [Dashcam Vehicle Distance](https://github.com/jake-g/Autonomous-Driving-Vision-Algorithms): [Automotive] — (2014) — GitHub — Links: [YouTube](https://www.youtube.com/playlist?list=PLWptjpDqazOymOtZTLaiW0OCP8Qe2uAKr)
- [Tesla Model S Duel Motor](https://www.tesla.com/models): [Automotive] — (2014) — Website
- [Battery Pack Design and Implementation](https://jakegarrison.me/doc/Battery_Pack_ESS_EcoCAR3.pdf): [Automotive] — (2014) — Report
- [EcoCAR 2](https://web.archive.org/web/2016/http://uwecocar.com/project.html): [Automotive] — (2013) — Website
- [Electric Car Conversion](https://electricgti.blogspot.com/): [Automotive] — (2010) — Website — Links: [Photos](https://photos.app.goo.gl/vovkoSQFk7ptpEYN7)
- [Homemade 500 Amp DC Motor Controller](https://photos.app.goo.gl/vovkoSQFk7ptpEYN7): [Automotive] — (2010) — Photos
- [Ginger Beer](https://photos.app.goo.gl/xLNvYSAqVTPXW6m18): [Fermentation] — (2021) — Photos
- [Home Brewing](https://photos.app.goo.gl/aTP5XVnkuWo9zkrE8): [Fermentation] — (2018) — Photos
- [Urban Parking AI](https://jakegarrison.me/doc/Urban_Parking_Report_EE498.pdf): [Academic Reports] — (2016) — Report
- [FPGA Pitch Shifter](https://jakegarrison.me/doc/Pitch_Shift_Report_EE443.pdf): [Academic Reports] — (2015) — Report
- [Cartoon Image Filter](https://jakegarrison.me/doc/Cartoon_Filter_EE440.pdf): [Academic Reports] — (2015) — Report
- [Driver Assist Hardware](https://jakegarrison.me/doc/ADAS_Hardware_Tool_Check_UW_EcoCAR.pdf): [Academic Reports] — (2015) — Report
- [Spiro Sound](https://jakegarrison.me/doc/SpiroPoster_poster.pdf): [Academic Posters] — (2018) — Poster
- [Carpacio Driver Identification](https://jakegarrison.me/doc/Carpacio_Poster.pdf): [Academic Posters] — (2017) — Poster
- [Phone AI](https://jakegarrison.me/doc/Smartphone_identification_poster.pdf): [Academic Posters] — (2016) — Poster
- [Driver Assist Consumer Appeal](https://jakegarrison.me/doc/Consumer_Appeal_Poster.pdf): [Academic Posters] — (2016) — Poster
- [3D Printing AI Monitor](https://jakegarrison.me/doc/3DP_Poster.pdf): [Academic Posters] — (2015) — Poster
- [Urban Parking](https://jakegarrison.me/doc/Urban_Parking_Poster.pdf): [Academic Posters] — (2014) — Poster
- [Download Resume (2018)](https://jakegarrison.me/doc/Garrison_Jake_Resume.pdf): Archival PDF snapshot (see above for current work)
- [Download CV (2018)](https://jakegarrison.me/doc/Garrison_Jake_CV.pdf): Archival PDF snapshot (see above for current work)