About Me

I am a PhD student in the Computer Science department at University of Chicago. I am advised by Prof. Heather Zheng. My research focuses on theoretical understandings of computing algorithms. I received my bachelor’s degrees in Computer Science and Mathematical Sciences with a minor in Computational Finance from Carnegie Mellon University in 2020. I received my master’s degree in Computer Science – Research Thesis from Carnegie Mellon University in 2021, jointly advised by Prof. Nihar B. Shah and Prof. Weina Wang.

Email: wenxind [at] uchicago.edu

Education

University of Chicago

• PhD student in Computer Science 2021–

Carnegie Mellon University

• M.S. in Computer Science – Research Thesis 2020–2021

• B.S. (Hons) in Computer Science 2016–2020

• B.S. (Hons) in Mathematical Sciences 2016–2020

Publication

• Calibration with Privacy in Peer Review (Wenxin Ding, Gautam Kamath, Weina Wang, Nihar B Shah)
  • 2022 IEEE International Symposium on Information Theory (ISIT)
  • 2022 AAAI Privacy-Preserving Artificial Intelligence (PPAI-22) workshop spotlight (click for video presentation)

Teaching Assistant

Carnegie Mellon University

• 15110 Principles of Computing (Head TA)
• 15213 Introduction to Computer Systems
• 15440 Distributed Systems

Awards

• 2021 University of Chicago Eckhardt Scholar
• 2020 Carnegie Mellon University Senior Leadership Recognition
• 2019 Mark Stehlik SCS Alumni Undergraduate Impact Scholarship
• 2017 William Lowell Putnam Mathematical Competition (Rank: 255 / 4638)