Boyu’s research interest lies in Machine Learning, Precision Medicine, and Digital Phenotyping. Boyu investigates ambulatory and unobtrusive digital health tailored for each person, i.e., one solution per individual. In particular, his current research focuses on
- Prognostic passive digital biomarker for understanding epileptic seizure and its complication with stress, mood, and sleep, especially personalized infradian rhythms and entrainment.
- Individualized patient-specific seizure and mental health forecast with physics-informed algorithms, e.g., nonlinear dynamical systems and spatio-temporal models.
Please see Boyu’s publications and CV for more details.
Before joining MIT, Boyu obtained a B.S. in Computer Science with Highest Honors in Research (1/118), Highest Distinction, and Magna Cum Laude from the University of Rochester. He is grateful to be advised by Professor Henry Kautz, Professor Ehsan Hoque, and Doctor Vincent Silenzio. Also, he had two fantastic collaborators at UR: Dr. Anis Zaman (eBay) and Dr. Rupam Acharyya (Micro Focus).
Diversity, Equity, and Inclusion
As someone who works in the mental health domain, Boyu is committed to promoting Diversity, Equity, and Inclusion (DEI). Boyu resonates with and is always open to talking to marginalized students, especially those who suffered from depression and/or grew up in single-parent families.
Disclaimer and Other Notice. Boyu gets a lot of inquiries, e.g., Ph.D. applications and industry collaboration, so please remember:
- Boyu does not give any medical advice. Boyu is not a healthcare provider by any definition.
- For industry collaboration, please contact Sable, our top-notch administrative assistant.