I am a 5th 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 uncertainty quantification and likelihood-free inference, with applications to astronomy and physics. I am 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
Last updated Jan 2022
(+) denotes Equal Contribution