Education

• M.S. in Computer Science, Duke University, 2020 - 2022
  • Research Project: StolenEncoder: Stealing Pre-trained Encoders in Self-supervised Learning
  • Committee Members: Neil Zhenqiang Gong (Committee Chair), Miroslav Pajic, Xiaowei Yang
• B.A. in Computer Science, University of Minnesota, Twin Cities, 2017 - 2020
• B.S. in Statistical Science, University of Minnesota, Twin Cities, 2017 - 2020

Awards

• Dean’s Research Award (Duke University, 2021)
• Buehler Memorial Undergraduate Award (UMN, 2020)
• Graduation with High Distinction (UMN, 2020)
• Dean’s List (UMN, 2017-2020)

Skills

• C/C++, Python (Pytorch), Java, OpenSSL

Teaching

• Teaching Assistant, CompSci-330: Design & Analysis of Algorithms (Duke University, Spring 2022)
• Teaching Assistant, CompSci-230: Discrete Math (Duke University, Fall 2021)
• Teaching Assistant, BioStat-718: Analysis of Correlated & Longitudinal Data (Duke University, Spring 2021)
• Grader, STAT-3011: Intro to Statistical Analysis (UMN, Fall 2019)