Yaniv Yacoby
Assistant Professor of Computer Science
Links
I'm an interdisciplinary researcher working at the intersection of machine learning (ML) and mental health.
I lead the Model-Guided Uncertainty (MOGU) Lab at Wellesley, where we enable effective and responsible uses of expressive (deep) ML models in safety-critical domains, like precision healthcare. Our research specifically focuses on developing methods to help us better understand, predict, and prevent suicide and related behaviors. We do this by developing new paradigms for clinician/patient-AI collaboration.
I see both my teaching and research as social endeavors. My teaching and research both require a social context to meaningfully center ethics, and require supportive classroom/lab cultures to support holistic growth. I'm therefore excited about creating classroom and mentorship experiences that emphasize community building and interrogation of socio-technical systems and cultures.
Outside of work, I enjoy spending time with my two cats and dog, playing and listening to folk music, trying out new food, and watching reality TV.
For my CV, as well as information about my research, teaching, and service, see my website.
Education
- B.A., Harvard University
- M.M., New England Conservatory of Music
- Ph.D., Harvard University