2020 Mar. – 2024 May, Ph.D. in Machine Learning, Georgia Institute of Technology
Advisor: Dr. Yao Xie, Coca-Cola Foundation Chair and Professor
2019 – 2020, Ph.D. student in Operations Research (transferred to machine learning program in 2020 spring), Georgia Institute of Technology
2015 Sep. – 2019 July, B.S. in Statistics, University of Science and Technology of China (USTC)
Dissertation Advisor: Dr. Hong Zhang, Professor
July 2024 - now, Data Scientist, Databricks
2024 spring (Jan. – Apr.), AI Research Senior Associate (Internship), J.P. Morgan AI Research
Mentor: Dr. Svitlana Vyetrenko, Executive Director
2023 summer (June – Aug.), AI Research Summer Associate (Internship), J.P. Morgan AI Research
Mentor: Dr. Andrea Coletta, Senior Associate
2021 summer (June – Aug.), Research Intern, Pacific Northwest National Laboratory
Mentor: Dr. Yousu Chen, Tech Lead
2018 summer (July – Sept.), Undergraduate Researcher, Department of Statistics, University of Michigan—Ann Arbor
Mentor: Dr. Yang Chen, Assistant Professor
Guo Moruo Award (class of 2019), the highest honor for USTC undergraduates
Tang Lixin Scholarship (2018)
China National Scholarship (2016, 2017)
Accepting Guo Moruo Award from Dr. Xinhe Bao
Graduate TA @ Georgia Tech
Regression Analysis (ISyE 6414), Summer 2022
Computational Statistics (ISyE 6416), Spring 2022
Basic Statistical Methods (ISyE 3030), Summer 2020
Basic Statistical Methods (ISyE 2028), Spring 2020
Stochastic Manufacturing and Service Systems (ISyE 3232), Fall 2019
Undergraduate TA @ USTC
Equations of Mathematical Physics B (00154908), Spring 2019
Calculus for Functions of a Single Variable (00151201), Fall 2018
Calculus for Functions of Several Variables (00151308), Spring 2018
Holding review session @ USTC
I served as a reviewer for
Journal of the American Statistical Association (JASA)
Biometrika
Journal of Machine Learning Research (JMLR)
IEEE Transactions on Information Theory (TIT)
IEEE Transactions on Signal Processing (TSP)
IEEE Journal on Selected Areas in Information Theory (JSAIT)
Electronic Journal of Statistics (EJS)
NeurIPS (2022, 2023, and 2024)
ICML (2023 and 2024)
ICLR (2024 and 2025)
AAAI (2025)
