Yaniv Yacoby is an Assistant Professor of Computer Science at Wellesley College, where he leads the Model-Guided Uncertainty (MOGU) Lab.
His research focuses on developing new machine learning methods to advance the understanding, prediction, and prevention of suicide and related behaviors. Before joining Wellesley, Yaniv was a postdoctoral fellow at the Nock Lab in the Department of Psychology at Harvard University and Mass General Hospital. He completed my Ph.D. in Machine Learning at the Data to Actionable Knowledge Lab (DtAK) at Harvard, working with Professor Finale Doshi-Velez. He received a Master’s of Music in Contemporary Improvisation from the New England Conservatory (2016) and a Bachelor’s of Arts in Computer Science from Harvard University (2015).
