Boyu Zhang is a graduate student at MIT, advised by Prof. Rosalind Picard from the Affective Computing Group. He is also a trainee at Harvard Medical School and Brigham and Women’s Hospital, advised by Dr. Charles A. Czeisler.
Boyu is joining Empatica in Spring 2023 as a research intern and taking a leave from MIT.
Boyu’s research interest lies in Precision Medicine, Machine Learning, and Digital Phenotyping. Boyu investigates clinically validated, ambulatory, and unobtrusive digital health tailored for each person. In particular, his current research focuses on
- Circadian rhythms in physiological signals as prognostic biomarkers for generalized tonic-clonic seizure, temporal lobe epilepsy, and major depressive disorder.
- Human vocal biomarkers for instantaneous estimations of obective sleep pressure, alertness, and cognitive performance.
- Physics-informed algorithms (dynamical system and state-space model) for individualized epileptic seizure and mental health forecast.
Boyu is a U.S. Permanent Resident. 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. He had two fantastic collaborators at UR: Dr. Anis Zaman and Dr. Rupam Acharyya.
Diversity, Equity, and Inclusion
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: Boyu gets a lot of inquiries, e.g., Ph.D. applications and industry collaboration. Notice that 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 assistant.