Studying human, machine, and collective intelligence at Stevens Institute of Technology. š§ š¤ CV
My research program applies the methods of cognitive science to machine intelligence, treating large language models and the agents built from them as minds to be studied by experiment. My lab builds multi-agent systems that deliberate, remember, and decide under uncertainty, and designs the tasks and benchmarks that reveal how they do so.
A second line of work asks how machines can take part in the scientific process itself, not simply by scaling up traditional experiments but by fundamentally rethinking their structure as sociotechnical systems. My lab builds agents that audit the computational reproducibility of published research, and I have contributed to global efforts to measure the reproducibility and analytic robustness of the social and behavioral sciences. I have also pursued experiments at scales previously out of reach, including āculture-on-a-chipā studies of cultural evolution in crowdsourced populations of people and machines working in tandem and stimulus spaces defined by deep generative models.
After an undergraduate degree in computer science at Brandeis (B.S. 2009), I studied cognitive psychology at Harvard (A.M. 2011, Ph.D. 2014), then completed a postdoc and appointment as a research scientist at the University of California, Berkeley.
Now I am an assistant professor at Stevens Institute of Technology.
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