Human-Inspired AI for Suicide Prediction and Prevention

Join us for a CHIA Seminar with Dr Yaniv Yacoby, Assistant Professor of Computer Science at Wellesley College, exploring how machine learning and psychological science can support suicide prediction and prevention.

Yaniv will talk about his lab’s ongoing work on models that combine psychological theories, clinician and patient knowledge, and data collected through smartphone-based assessments. He will explore the challenge of translating qualitative theories into statistical models, with the aim of improving our understanding of suicide risk and supporting more effective prevention and treatment.

When: Friday 6 November 2026, 4–5 pm
Where: Seminar Room C, 17 Mill Lane, Cambridge, CB2 1RX

Speaker

Dr Yaniv Yacoby – Assistant Professor of Computer Science at Wellesley College, where he leads the Model-Guided Uncertainty (MOGU) Lab. His research brings together machine learning and psychological science to better understand, predict and prevent suicide. He recently received a $3 million research award from the US National Institute of Mental Health to support this work.

Previously, Yaniv was a postdoctoral fellow at Harvard University’s Nock Lab and Massachusetts General Hospital. He completed his PhD at Harvard, advised by Finale Doshi-Velez, and also holds a master’s degree in music from the New England Conservatory.

We look forward to seeing you.