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Hi, I'm an incoming PhD Student at the University of Michigan Ann Arbor. I will be joining the Strategic Reasoning Group in the AI Lab at Michigan. I am extremely fortunate to be advised by Prof. Michael Wellman.

For undergrad I attended Lafayette College graduating in 2021. After Lafayette I was working full time and attending Tufts University to pursue my MS in Computer Science, where I had a great experience, got to work on interesting research, and met many great people who allowed me to be a student while I worked in industry; I graduated from Tufts in 2024.

This summer I'm working as a research intern for the Air Force Research Lab (AFRL) working in conjunction with the AI & Autonomous Decision Making Group and the Control Science Center. I'm working on differential game theory & pursuit-evasion games, GNNs, and graph theory. I'm being hosted by Dr. Scott Nivison.

I spent 2.5 years right out of college in industry where I worked as a software engineer at Capital One working on their Low Latency Data Store team and software for real time credit card fraud detection. I also spent time at Jefferies working as a Quantitative Researcher in fixed income risk.

Research Interests

Multi-Agent Systems, EconCS, Complex Systems, and Multi-Agent RL.

Some mementos from my days as a D1 athlete

While at Lafayette I played 4 years of division 1 lacrosse. I was named a captain, USILA All American, and played on the US National Box Lacrosse team. I was also awarded the David Heard award by the Athletic Department at Lafayette College. I was fortunate to play with some of the best players and coaches in the world and make some great memories.

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Improving Multi-Agent Strategies through Learning and Game Theoretic Graphs

Researching Differential Game Theory, GNNs, and Graph Theory. I'm being advised by Dr. Scott Nivison.

Policy Space Response Oracles for shared Linear Temporal Logic Normative Markov Games

Explored PSROs to explore how agent follow implicit norms in Normative Markov Games

Quantal Response-Based Defense in One vs. Many Stackelberg Security Games

Spent 2023-2024 School year researching Stackelberg Security Games and Deception.

Understanding Eviction Rates Induced by COVID, a Statistical, Mechanism Design, and Game Theoretic Perspective

Spent 2021 School year researching the impacts of COVID-19 to the renting market in Pennsylvania and Easton. I took an approach through statistics, econometrics, mechanism design, and game theory.