Mitchell Hermon
Research interests: LLM evaluation and failure analysis; trustworthy, secure, and safe agents.
Education
- 2023–
Ph.D. in Computer Science
Advised by Haohan Wang. Expected 2028. Sloan Scholar and UIUC SURGE Fellow.
- 2023
B.S. Computer Science, B.S. Statistics, B.A. Mathematics
Graduated with a 3.82 GPA after research work in machine learning, biomolecular engineering, and human-computer interaction.
Publications
- 2026
- 2025
Led dataset construction, evaluation, and the steering mitigation.
- 2022
Collected and analyzed PAC results.
Open source
Research experience
- 2023–
Doctoral Researcher
LLM evaluation and agent security, advised by Haohan Wang. Developed and released the SecFid benchmark and Unroll, a VS Code extension for reading agent traces.
- 2022–23
Research Assistant
Built machine learning methods with clinicians for opioid-related risk prediction from electronic health records.
- 2021–23
Research Assistant
Evaluated crystal structure similarity algorithms for a study published in the Journal of Applied Crystallography.
- 2021
Developer and Researcher
Developed an end-to-end deep learning computer vision pipeline to support at-home blood pressure recordings.
Industry experience
- 2022
Software Development Engineer Intern
Built a Java workflow on AWS Lambda, DynamoDB, and SNS to integrate data for a labor-planning tool, with estimated annual savings of $10 million.
- 2019–20
Software Development Intern
Developed a tool to search and filter lab results for the Iowa Institute of Human Genomics.
Teaching
- 2024–26
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.
- 2025–26
Teaching Assistant, CS 416: Data Visualization
Graded assignments and held office hours for a course on chart design, dashboards, and visual reasoning with data.
Fellowships and honors
- 2023–
Sloan Scholar, Alfred P. Sloan Foundation Minority Ph.D. Program
- 2023–
UIUC SURGE Fellow
- 2024–25
Teachers Ranked as Excellent by Their Students
- 2023
John and Elsie Mae Ferentz Research Fellow
- 2021–22
Collins Aerospace AI/Machine Learning Scholar
- 2021–23
Jason and Leslie Weber Emerging Technologies Scholar
Leadership and service
- 2021–23
President
Organized technical workshops and the 2023 University of Iowa Computing Conference, which drew over 200 participants.
- 2022–23
Undergraduate Representative