My interest lies in the intersection of machine learning and distributed systems. I use insights from different domains to improve the performance (accuracy, efficiency, and interpretability) of current machine learning models.
I am currently working on Alpa, an automatic model parallel training framework.
465 Soda Hall
University of California, Berkeley
Ph.D. in Computer Science
Aug. 2019 - Present
B.S. in Computer Science (Summa Cum Laude)
Sept. 2015 - Jul. 2019
Software Engineer Intern
May. 2020 - Aug. 2020