Summary
Hsin-yu Lai is a research scientist specializing in machine learning and statistical models for tracking and predicting Alzheimer's disease progression, currently at the Allen Institute. With a Ph.D. from MIT EECS and 11 years of research experience, she blends signal processing, computer vision, Bayesian modeling, and reinforcement learning to extract longitudinal biomarkers from mobile and omics data. Her postdoc work at Harvard produced practical RL tools and an API to help behavioral scientists design personalized, just-in-time adaptive interventions using mediator-informed algorithms. She has a rare combination of top-ranked mathematical and engineering training (NTU, MIT) and hands-on system-building—from mobile apps that collect eye-movement features to toolboxes for clinicians. Based in Seattle, she focuses on translating complex probabilistic models into usable tools that can optimize individualized brain-health treatments. An understated strength is her track record of turning theoretical signal-processing ideas into empirically fast, deployable algorithms.
11 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Electrical Engineering and Computer Science, Doctor of Philosophy (Ph.D.), Electrical Engineering and Computer Science at Massachusetts Institute of Technology
Bachelor's degree, Electrical Engineering, Mathematics, 4.25/4.3 (Rank 1st/198), Bachelor's degree, Electrical Engineering, Mathematics, 4.25/4.3 (Rank 1st/198) at National Taiwan University