Cognitive computational neuroscientist studying the learning mechanisms underlying changes in mental health. I am a faculty member in the Mt. Sinai Center for Computational Psychiatry and the Lipschultz Center for Cognitive Neuroscience and affiliated with the Friedman Brain Institute.

My lab investigates how patterns of symptoms that cut across psychiatric diagnoses arise from the interplay between cognitive and affective processes. We use methods such as reinforcement learning, Bayesian inference, behavioral experiments, and virtual reality to model how the mind generates behavior and to uncover how the algorithms supporting behavior are implemented in the brain. You can find our recent work here.

If you are a prospective PhD student interested in joining the lab, you can learn more about Mount Sinai’s Neuroscience PhD program here.

• Nov. 2025: The New York Computational Psychiatry Workshop will be back this year at Mt. Sinai.
• Sep. 2025: Gave a talk at the Lipschultz Symposium at Mount Sinai.
• Aug. 2025: Giving a lecture at the School on Analytical Connectionism at UCL.
• Aug. 2025: Attending CCN at the University of Amsterdam.
• June 2025: Gave a talk at RLDM at Trinity College Dublin.
• Jan. 2025: New paper with Juliana Trach, Megan DeBettencourt and Sam McDougle on rewarding sustained attention.
• Oct. 2024: Co-organizing the New York Computational Psychiatry Workshop.
• Sep. 2024: New paper with Jianming Zhu and Daniel Bennett on emotional overshadowing.
• 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.