My primary research lies at the intersection of scalable machine (un)learning, interpretable AI, and risk estimation. 

I am an associate professor in Statistics at the Zicklin School of Business, Baruch College, City University of New York.

My work has been supported by grants from the National Science Foundation and National Institute of Health.

I am interested in how information processing with computational constraints shapes learning in biological and artificial systems.

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