Mayank Agrawal

mayank dot agrawal at princeton dot edu

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overview

I am a PhD Student in Psychology and Neuroscience at Princeton University, advised by Jon Cohen and Tom Griffiths. I am broadly interested in human and machine intelligence, and I use computational (neuro)scientific approaches to study high-level cognitive functions such as learning, decision-making, memory, and control.

Previously, I was an undergraduate at Swarthmore College, where I studied Computer Science and Philosophy. I wrote a thesis under Alan Baker using computational learning theory to formalize problems in moral epistemology.

I have also spent time at Kallyope, the University of Oxford, Mercury Fund, Carnegie Mellon University, the University of Pennsylvania, and Breakthrough Houston.

publications

The Temporal Dynamics of Opportunity Costs: A Normative Account of Cognitive Fatigue and Boredom
Mayank Agrawal, Marcelo G. Mattar, Jonathan D. Cohen, Nathaniel D. Daw
Psychological Review

Using Large-Scale Experiments and Machine Learning to Discover Theories of Human Decision-Making
Joshua C. Peterson, David D. Bourgin, Mayank Agrawal, Daniel Reichman, Thomas L. Griffiths
Science

Scaling up Psychology via Scientific Regret Minimization
Mayank Agrawal, Joshua C. Peterson, Thomas L. Griffiths
Proceedings of the National Academy of Sciences

Pyglmnet: Python Implementation of Elastic-net Regularized Generalized Linear Models
Mainak Jas, Titipat Achakulvisut, Aid Idrizović, Daniel Acuna, Matthew Antalek, Vinicius Marques, Tommy Odland, Ravi Garg, Mayank Agrawal, Yu Umegaki, Peter Foley, Hugo Fernandes, Drew Harris, Beibin Li, Olivier Pieters, Scott Otterson, Giovanni De Toni, Chris Rodgers, Eva Dyer, Matti Hamalainen, Konrad Kording, Pavan Ramkumar
Journal of Open Source Software

Using Machine Learning to Guide Cognitive Modeling: A Case Study in Moral Reasoning
Mayank Agrawal, Joshua C. Peterson, Thomas L. Griffiths
Proceedings of the 41st Annual Conference of the Cognitive Science Society

Predicting Beta Bursts From Local Field Potentials to Improve Closed-Loop DBS Paradigms in Parkinson's Patients
Eduardo M. Moraud, Gerd Tinkhauser, Mayank Agrawal, Peter Brown, Rafal Bogacz
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society





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