About
I build AI systems that enhance critical decision-making and improve human-AI collaboration. Detecting disease before it happens, predicting climate events, and making roads safer by enabling autonomous vehicle intuition. My goal is to create impact in high-stakes, critical domains.
My research is advised by Dr. Chaowei Xiao (UW-Madison, NVIDIA) and Xiaogeng Liu (UW-Madison, NVIDIA), where we investigate foundation model safety, specifically in applications of healthcare and autonomous/robotic vehicle intuition.
Outside of work and school, I'm an avid snowboarder, traveler, and semi-professional photographer, and have recently taken up golf. I also enjoy learning languages; in addition to English and Mandarin, I speak French, Korean, and Japanese with varying proficiency.
Experience
                    Software Engineer Intern
                    TikTok
                
                    Research Intern
                    Safe Foundational Models Lab
                
                    Controls Engineer
                    Wisconsin Autonomous
                
                    Research Intern
                    Yonsei University AI V&L Lab
                
Education
                    Master of Science in Engineering
                    University of Pennsylvania [not yet started]
                
                    Bachelor of Science
                    University of Wisconsin-Madison, 2021-2025
                
Awards + Competitions
                    Lorraine A. & W. Dwight Stone Scholarship
                    UW-Madison, Department of Economics
                
                    Finalist
                    GE Healthcare x N+1 Institute, 2025
                
                    Participant
                    Google x N+1 Institute Pitch Competition, 2024
                
                    Invited
                    Palantir for Hospitals, Build the Future 2024
                
                    Epic Systems Healthcare Empowerment Award (1st)
                    MadHacks, 2023
                
Test Scores
                    [tbd]
                    GRE
                
                    36/36
                    ACT
                
                    1560/1600 (760 English, 800 Math)
                    SAT
                
                    600/600
                    CodeSignal GCA
                
Papers
BackdoorGCG - (Greedy Coordinate Gradient) Prompt Injection against Falcon, LLaMa, (working)