Teaching

I teach computational methods to learners at every stage — from high-school students getting their first exposure to programming, to postdocs and faculty at intensive workshops. Slides from some recent workshops are provided below.

Using Response Times to Improve Cognitive Models
Yale School of Medicine (2025) · Icahn School of Medicine at Mount Sinai (2025)

What can response times tell us? This workshop highlights how jointly modeling choices and response times yields more precise parameter estimates and sharper tests between competing hypotheses.

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Introduction to the Diffusion Decision Model
New York Computational Psychiatry Workshop (2024, 2025)

A hands-on introduction to the diffusion decision model and the sequential sampling framework, walking through how these models decompose choices and response times into interpretable cognitive parameters such as evidence accumulation, response caution, and initial biases.

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Collecting Online Data in the Age of Large Language Models
Icahn School of Medicine at Mount Sinai (2026) · Yale School of Medicine (2026)

Online assessments underpin much of psychology and public health, but LLM-powered bots now pass nearly all standard attention checks. This talk covers the threat synthetic respondents pose to data quality and practical strategies for collecting trustworthy behavioral data online.

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Introduction to Decision-Making and the aDDM
University of Gothenburg, Sweden (2021)

An introduction to value-based decision-making and the attentional drift diffusion model (aDDM), illustrating how gaze and attention shape the evidence accumulation process underlying simple choices.