I am a rising 4th year Ph.D. student in the joint program in Statistics and Machine Learning at Carnegie Mellon University. My research focuses on developing new methods to tackle challenging real-world problems in the physical sciences. In particular, I work on likelihood-free inference and uncertainty quantification, with applications to astronomy and physics. I am very fortunate to be advised by Professor Ann B. Lee.
Prior to CMU, I obtained an M.Sc. in Statistics from ETH Zurich and an A.B. in Applied Mathematics from Harvard University. I also have 3+ years of work experience in the quantitative finance industry, in both investment research and proprietary trading.
Ph.D. in Statistics and Machine Learning, 2023
Carnegie Mellon University
M.Sc. in Statistics, 2016
A.B. in Applied Mathematics, 2013
(+) denotes Equal Contribution