I am a PhD candidate in the Math and Data group at the Center for Data Science, New York University, under the supervision of Prof. Julia Kempe. My primary focus is on the development of efficient data curation pipelines. I hope to provide systematic and robust methods that exceed conventioanl heuristic methods by leveraging my background in applied math, statistics, and computer science. My current projects involve designing better data selection and data distillation methods. At NYU, I also work closely with Dr. Ramakrishna Vedantam and Dr. Tim G. J. Rudner.
I did my undergraduate in Applied Mathematics (Honor Track) at the School of Mathematical Sciences, Peking University. Back then, I was advised by Prof. Bin Dong on adversarial robustness. In Summer 2020, I worked virtually with Prof. Yue M. Lu at Harvard on high dimensional statistics and machine learning. I also worked closely with Dr. Di He from Microsoft Research Asia on representation. In 2022 Summer, I interned at Uber as an Applied Scientist Intern on causal machine learning.
Check out more information from my CV.
More about myself: I am an outdoor lover. I climbed the Luodui Mount (6010m Snowberg) at Tibet, China in August, 2021. I have also served as the teaching assistant of Outdoor Exploration at Peking University. Outdoor experiences really help shape my personality and life methodology.