🧠 Can a machine solve, grade, and generate university-level mathematics and stem courses? Our latest research on learning to learn courses demonstrates that a neural network trained on text and fine-tuned on code solves, grades, and generates university-level mathematics and stem courses by program synthesis.
🌎 Can we predict extreme climate change based on millennia of data and monitor climate? In the spirit of MIT's leading efforts to take action against climate change for a better world, we've published multidisciplinary work on machine learning for climate change, awarded best paper: pathway to impact.
💧 Can we efficiently optimize bubbles at micrometer and millimeter scales using only a few samples? Our recent journal paper describes multidisciplinary work to optimize generation of droplets at multiple scales.
📖 My new book The Science of Deep Learning is being published with Cambridge University Press.
📚 22 accepted journal (2), conference (8), and workshop (12) papers in the past 18 months, including multiple best paper awards and conference competition winners.
🌎 CCAI NeurIPS 2021 Best Paper Award Winner
🏆 FG 2021 Competition Winner, Kinship Verification Challenge
🥇 ACML 2021 Best Student Paper Award Winner
🚘 ICCV 2019 Competition Winner, Learning to Drive Challenge
Massachusetts Institute of Technology
Department of Electrical Engineering and Computer Science
77 Massachusetts Ave, Cambridge, MA 02139
School of Engineering and Applied Science
500 W 120th Street, New York, NY 10027
Cambridge University Press, 2021.
I was a visiting Associate Professor at Cornell University, working on automated machine learning and combinatorial optimization.