About

I'm a second-year Ph.D. Student at the University of Michigan Ann Arbor, where I'm a member of the Strategic Reasoning Group in the AI Lab at Michigan. I am extremely fortunate to be advised by Prof. Michael Wellman. I hold dual US and EU citizenship.

I completed my undergraduate studies at Lafayette College in Math & Economics with a minor in Data Science & Statistics (2021) and received my M.S. in Computer Science from Tufts University (2024). During my master's, I balanced full-time industry work with academic research.

During Spring and Summer 2024, I worked as a research fellow for the Air Force Research Lab (AFRL), collaborating with the AI & Autonomous Decision Making Group and the Control Science Center on differential game theory, pursuit-evasion games, GNNs, and graph theory, hosted by Dr. Scott Nivison.

My industry experience includes 2.5 years as a software engineer at Capital One on their Low Latency Data Store team, developing software for real-time credit card fraud detection, and working as a Quantitative Researcher in fixed income at Jefferies.

Research Interests

My current research in progress spans the following topics:

• Multi-Agent Systems
• Computational Game Theory & Mechanism Design
• AI Safety & Security
• Mechanistic Interpretability

I am currently working on research related to computational game theory and AI Safety as well as financial market design. These two projects are currently under review at their respective conferences.

I am currently looking for undergraduates or masters students to work on projects related to AI Safety and market design & AI. If you are interested, please feel free to reach out.