Bio

I am a third-year PhD student in Machine Learning at Georgia Tech, advised by Prof. Ashwin Pananjady. My research sits at the intersection of statistical learning theory, high-dimensional statistics, and modern AI applications.

I develop principled statistical and algorithmic frameworks for learning problems in high-dimensional settings, with a focus on understanding the fundamental limits and computational efficiency of learning algorithms. My work spans both theoretical foundations and practical applications in AI for science and vision-language models.

Before joining Georgia Tech, I earned my M.S. in Computer Engineering from NYU (advised by Prof. Siddharth Garg and Prof. Elza Erkip) and my B.S. in Mathematics from UW-Madison.

Research Interests

High-Dimensional Statistics Statistical Learning Theory Generative Models Vision-Language Models AI for Science Computational-Statistical Tradeoffs

Selected News

  • [02/2025]
    Won first place at ML@GT Student Conference!
  • [01/2025]
    VL4SEM paper submitted on vision-language models for materials science.
  • [10/2024]
    Presented at Allerton Conference on personalized color perception.
  • [08/2024]
    Paper accepted at ICML Workshop on High-dimensional Learning Dynamics.

Education

  • Ph.D. in Machine Learning
    Georgia Institute of Technology
    2023 - 2027 (Expected)
  • M.S. in Computer Engineering
    New York University
    2021 - 2023
  • B.S. in Mathematics
    UW-Madison
    2016 - 2020

Honors & Awards

  • [2025] ML@GT Student Award (First Place), Georgia Tech
  • [2023] Marion A. and Henry C. Bourne Fellowship, Georgia Tech
  • [2021] Merit Scholarship, New York University
  • [2016-2020] Dean's List (All Semesters), UW-Madison
  • [2018] S Grade in Mathematical Contest in Modeling, UW-Madison

Service

Conference Reviewer

AAAI (2024, 2025), NeurIPS (2024, 2025)

Teaching

  • Digital Image Processing (Graduate TA), Fall 2023, Georgia Tech
  • Fundamentals of Machine Learning (Graduate TA), Spring 2023, Georgia Tech
  • K12 Summer ML Teaching Program (Instructor), Summer 2022, Brooklyn, NY

Mentoring

Undergraduate mentee Xinyu Li (2023-2025), Georgia Institute of Technology

Invited Talks

Georgia Statistics Day 2024, Allerton Conference 2024, ICML Workshop 2024, ML@GT Student Conference 2025