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Career

· Advisor in AI training and sensing, Aigen2020–
· Researcher in AI for health outcomes, Google Health Research2017–

Publications (15)

Towards accurate differential diagnosis with large language models
Nature · 2023
227
cited
Scaling Wearable Foundation Models
International Conference on Learning Representations · 2024
33
cited
FRILL: A Non-Semantic Speech Embedding for Mobile Devices
Interspeech · 2020
26
cited
HeAR - Health Acoustic Representations
arXiv.org · 2024
26
cited
SpiroConfidence: Determining the Validity of Smartphone Based Spirometry Using Machine Learning
Annual International Conference of the IEEE Engineering in Medicine and Biology Society · 2018
26
cited
What Are the Odds? Language Models Are Capable of Probabilistic Reasoning
Conference on Empirical Methods in Natural Language Processing · 2024
20
cited
Carpacio: Repurposing Capacitive Sensors to Distinguish Driver and Passenger Touches on In-Vehicle Screens
ACM Symposium on User Interface Software and Technology · 2017
19
cited
SensorLM: Learning the Language of Wearable Sensors
arXiv.org · 2025
19
cited
Whosecough: In-the-Wild Cougher Verification Using Multitask Learning
IEEE International Conference on Acoustics, Speech, and Signal Processing · 2020
13
cited
An AI system to help scientists write expert-level empirical software
arXiv.org · 2025
11
cited
LSM-2: Learning from Incomplete Wearable Sensor Data
arXiv.org · 2025
7
cited
The Anatomy of a Personal Health Agent
arXiv.org · 2025
5
cited
LuckyChirp: Opportunistic Respiration Sensing Using Cascaded Sonar on Commodity Devices
Annual IEEE International Conference on Pervasive Computing and Communications · 2022
4
cited
FUN! Fast, Universal, Non-Semantic Speech Embeddings
arXiv.org · 2020
2
cited
Optimizing Audio Augmentations for Contrastive Learning of Health-Related Acoustic Signals
arXiv.org · 2023
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