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·
Research Intern
,
Google
2023–
·
PhD Student
,
University of Washington
2021–
Publications
(0)
rPPG-Toolbox: Deep Remote PPG Toolbox
Neural Information Processing Systems · 2022
111
cited
Exploring and Characterizing Large Language Models for Embedded System Development and Debugging
CHI Extended Abstracts · 2023
34
cited
BigSmall: Efficient Multi-Task Learning for Disparate Spatial and Temporal Physiological Measurements
IEEE Workshop/Winter Conference on Applications of Computer Vision · 2023
33
cited
Scaling Wearable Foundation Models
International Conference on Learning Representations · 2024
33
cited
Deep Physiological Sensing Toolbox
arXiv.org · 2022
20
cited
SensorLM: Learning the Language of Wearable Sensors
arXiv.org · 2025
19
cited
Camera-based remote photoplethysmography for blood pressure measurement: current evidence, clinical perspectives, and future applications
Connected Health · 2023
15
cited
Automatic Classification of Audio Uroflowmetry with a Smartwatch
Annual International Conference of the IEEE Engineering in Medicine and Biology Society · 2022
7
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
RADAR: Benchmarking Language Models on Imperfect Tabular Data
arXiv.org · 2025
2
cited
CAPAPP: SMARTPHONE-BASED CAPILLARY REFILL INDEX ASSESSMENT IN HEALTHY CHILDREN
2023 Design of Medical Devices Conference · 2023
1
cited
Autonomous collection of voiding events for sound uroflowmetries with machine learning
Biomedical Signal Processing and Control · 2025
Estimating Blood Pressure with a Camera: An Exploratory Study of Ambulatory Patients with Cardiovascular Disease
arXiv.org · 2025
SnappyMeal: Design and Longitudinal Evaluation of a Multimodal AI Food Logging Application
arXiv.org · 2025
Towards Characterizing Knowledge Distillation of PPG Heart Rate Estimation Models
arXiv.org · 2025
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