Hello! I am a postdoctoral researcher at Foundamental AI Research (FAIR) in Meta, hosted by Lin Xiao. My interests broadly lie in the intersection of optimization, statistics and probability in the context of machine learning. I develop efficient optimization algorithms for complex learning tasks.

I recently got my PhD in Operations Research at Cornell University, advised by Damek Davis. Prior to that, I received MMath in Combinatorics and Optimization at University of Waterloo, advised by Steve Vavasis, and BEng in Engineering Systems and Design at Singapore University of Technology and Design.

Outside of office, I enjoy hiking, rock climbing and going out for adventures with my husband Zhi. If you have a keen interest in promoting fairness within societal systems and are contemplating potential solutions, please check out some fascinating works by Zhi and see how he identifies and addresses disparities using quantitative methods.