About
Research and background
I am a PhD student in Computer Science at the Siebel School of Computing and Data Science, advised by Professor Haohan Wang.
My current work studies language model security and evaluation. SecFid examines the tradeoff between security and fidelity in prompt-injection defenses. That's Deprecated studies how language models respond when prompts conflict with learned programming knowledge.
Before Illinois, I studied computer science, statistics, and mathematics at the University of Iowa.
Education
- Ph.D. in Computer Science University of Illinois Urbana-Champaign
Sloan Scholar and UIUC SURGE Fellow.
- B.S. Computer Science, B.S. Statistics, B.A. Mathematics University of Iowa
Graduated with a 3.82 GPA after research work in machine learning, biomolecular engineering, and human-computer interaction.
Teaching
- Teaching Assistant STAT/CS/IS 107: Data Science Discovery
Led labs and office hours for an introductory Python data science course, teaching programming, statistics, and applied data analysis.
- Teaching Assistant CS 416: Data Visualization
Graded assignments and held office hours for a course on chart design, dashboards, and visual reasoning with data.
Honors
- Sloan Scholar, Alfred P. Sloan Foundation Minority Ph.D. Program
- UIUC SURGE Fellow
- Teachers Ranked as Excellent by Their Students
- John and Elsie Mae Ferentz Research Fellow
- Collins Aerospace AI/Machine Learning Scholar
- Jason and Leslie Weber Emerging Technologies Scholar
Experience
- Doctoral Researcher University of Illinois Urbana-Champaign
Research on LLM security and reliable machine learning, advised by Professor Haohan Wang.
- Research Assistant University of Iowa
Built machine learning methods with clinicians for opioid-related risk prediction from electronic health records.
- Research Assistant Computational Biomolecular Engineering Lab
Worked on crystal structure similarity and neural network methods for crystallography.