About me

I am a research scientist at the fundamental AI research (FAIR) lab at Meta, where I lead the human data program for the AI Research Agents project. Previously at FAIR, I led a workstream focused on foundation models for surface electromyography (EMG) and before that, I was at Facebook Reality Labs, where I created and led the team behind AEPsych, a platform for adaptive experimentation for human perception and perceptually-informed outcomes. I did my postdoc with Jon Cohen at the the Princeton Neuroscience Institute, and my Ph.D at the University of Michigan with Rick Lewis and Satinder Singh. I got into science working as an RA for Colin Phillips at the University of Maryland Cognitive Neuroscience of Language Lab, and writing my undergrad linguistics thesis with Maria Piñango at Yale, in between which I had a brief stint managing a multimillion-dollar emerging-markets product for Gartner.

I build and lead focused teams that take applied problems and work on generalized ways to solve them that translate beyond a single use. I enjoy building interdisciplinary bridges that translate ambiguous domain expert intuition into contemporary AI approaches, and creating artifacts like open-source platforms or foundation models that endure beyond a single project.

I like to engage with the broader scientific community when I can, including as a founding organizer of DeepMath. My current employment is not compatible with consulting work but I am open to volunteering my skills to good causes when possible, talking to nontraditional candidates navigating the academia-industry transition in midcareer, or serving on committees. LinkedIn is the best place to reach me for all of these.