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Resume (English only)
Academic Achievements
Published multiple conference papers, including 'Concurrent Composition Theorems for Differential Privacy' which won the CCS 2023 Distinguished Paper Award; journal articles such as 'A standardised differential privacy framework for epidemiological modelling with mobile phone data' in PLOS Digital Health.
Research Experience
Postdoctoral Fellow at Harvard John A. Paulson School of Engineering and Applied Sciences, hosted by Salil Vadhan; interned at Microsoft Research Cambridge in Summer 2019, working with Olya Ohrimenko and Shruti Tople; worked with Nalin Singal, Robert Sim, Jana Kulkarni, and Priyanka Kulkarni at Microsoft Research AI in Summer 2020.
Education
Ph.D. from the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech, advised by Rachel Cummings and Yajun Mei; B.S. in Statistics from Peking University.
Background
Research interests include data privacy, particularly in differential privacy, and responsible AI. Areas of expertise encompass developing theoretical foundations, designing privacy-preserving algorithms for machine learning models and statistical analysis tools, and addressing domain-specific privacy questions.