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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.
Co-authors: 0 (list not available)