International Conference on Machine Learning · 2023
Cited
35
Resume (English only)
Academic Achievements
Published multiple papers, including 'The Road Less Scheduled' (NeurIPS, 2024), 'Optimal Stochastic Non-smooth Non-convex Optimization through Online-to-Non-convex Conversion' (ICML, 2023), 'Mechanic: A Learning Rate Tuner' (NeurIPS, 2023), etc.
Research Experience
Was a research scientist at Google; currently an assistant professor at Boston University in the ECE department.
Education
Earned a PhD in computer science at Stanford University in 2018 under the supervision of Kwabena Boahen, and an AB in mathematics from Harvard in 2013. Also a master of medicine.
Background
Currently an assistant professor at Boston University in the ECE department. Previously, a research scientist at Google. Excited about optimization algorithms for machine learning. Recently worked on non-convex optimization as well as adaptive online learning.