Computational cognitive scientist studying the learning mechanisms underlying changes in mental health. Leading a research group at the Mt. Sinai Center for Computational Psychiatry.

My research focuses on modeling how transdiagnostic symptom dynamics emerge from the interaction of cognitive and affective processes. Methods: reinforcement learning, Bayesian inference, behavioral experiments, virtual reality, fMRI.

• Oct. 2024: Co-organizing the New York Computational Psychiatry Workshop.
• Aug. 2024: Attending CCN at MIT.
• Jul. 2024: Giving a tutorial at the SRDNA workshop at Penn.
• Jul. 2024: Giving a tutorial at the Computational Psychiatry Conference at UMN.
• Apr. 2024: Gave a talk at the Mt. Sinai Neuroscience retreat.