Curriculum Vitae
Education
Stanford University · Ph.D. in Psychology · Expected September 2026
Stanford Autonomous Agents Lab, advised by Prof. Nick Haber.
Research: LLM post-training, reinforcement learning, reward modeling, and computational cognitive science.
Indiana University · M.S. in Computer Science · 2018–2020
Indiana University · B.S. in Informatics, B.A. in Mathematics · 2011–2016
Industry research
Radical Numerics
Member of Technical Staff Intern
October 2025 - January 2026
Built an end-to-end post-training and evaluation stack for DPO-tuning genomic foundation models, including preference-data processing, training orchestration, and evaluation for biomedical DNA-sequence design.
Toyota Research Institute
Research Scientist Intern, Human-AI Interactive Learning
June - September 2025
Developed a teacher-training objective for corrective feedback, scoring teacher outputs by how much they improved a frozen student's likelihood of the reference solution. Established a final-answer reward signal and studied why it did not transfer to long reasoning traces.
Publications
See my publications for papers, project summaries, code, and datasets.
Technical skills
- Libraries and tools: FSDP, Docker, vLLM, SGLang, Ray/RLlib, SLURM
- Deep learning frameworks: PyTorch, TensorFlow, Keras
- Programming languages: Python, C++, C, JavaScript
Teaching and mentoring
- 2023–2025: Teaching Assistant, Neural Network Models of Cognition, Stanford University
- 2023: Teaching Assistant, Introduction to Statistical Methods, Stanford University
- 2021: Teaching Assistant, Longitudinal Design and Data Analysis, Stanford University
- 2019: Mentor, Proactive Health Informatics REU, Indiana University
- 2019: Teaching Assistant, Computer Vision, Indiana University
- 2018: Teaching Assistant, Introduction to Data Structures and Algorithms, Indiana University