Hi! I just finished my master's degree at MIT studying EECS and entrepreneurship. Before MIT, I worked as a software engineer at Amazon on truck/train routing algorithms and large scale optimization problems for their fleet across North America and Europe. I completed my undergrad at Georgetown University where I double majored in computer science and economics.
In the past year, I've been trying to transition into working as an AI safety researcher. My research interests are on societal impacts of AI, behavioral evals (particularly sycophancy and diverse personas), and black-box control. My experience so far is largely with multi-turn evals, training reward models, and red-teaming.
Research
* indicates equal contribution.
Writing
Experience
Training reward models to instill risk-aversion in open-source models
Investigating complex persona and sycophancy interactions
Agentic Reinforcement Learning for Competitor-Aware Customer Retention
Electrical Engineering & Computer Science (EECS), Leaders for Global Operations (LGO)
Transportation Optimization (MMPO)
Previously called Business Development
Leveraging Prior Concept Learning Improves Generalization From Few Examples in Computational Models of Human Object Recognition
Computer Science & Economics. George F. Baker Scholar