About
I am a first year PhD student in the Department of Computer Science at Carnegie Mellon University (CMU). I am fortunate to be advised by Professor Tuomas Sandholm. I am also supported by the NSF Graduate Research Fellowship.
My research interests center around autonomous decision-making in high-stakes domains, and the associated technical and practical challenges of these settings. I enjoy tackling the full spectrum of open questions related to building more intelligent autonomous agents—from theory to algorithms to implementations and deployment.
Some more general areas of interest:
- Multi-Agent Systems
- Planning, Scheduling, and Operations
- Game Theory
- Combinatorial Optimization
Prior to joining CMU, I received my BSc. in computer science from McGill University. I then worked for two and a half years as a technical group member of the Artificial Intelligence Group at NASA's Jet Propulsion Laboratory (JPL). At JPL, I had the opportunity to research, develop, and deploy autonomous systems alongside many brilliant people. Most notably, my supervisor, Steve Chien.
Research
Current Projects
My current research focuses on game theory, optimization, social choice, and operations as well as leveraging AI in heart transplant allocation for the United Network for Organ Sharing (UNOS).
Selected Previous Projects
Multi-Agent Satellite Systems: Distributed autonomy can enable Earth-orbiting satellites to optimize their observations to perform time-critical and coordinated tasks such as tracking natural disasters. We work on this distributed autonomy for decentralized control of Earth-observing satellites. This work leverages distributed constraint optimization and automated scheduling to optimize spacecraft observations, resources, and time. We examine both fully coordinated settings and, more practically, federated systems. This research culminates in the FAME project, which will be the largest in-space demonstration of multi-agent AI to date.
Dynamic Targeting: Dynamic Targeting (DT) optimizes spacecraft observations and resources by using information from a lookahead sensor to identify targets for a primary sensor to seek or avoid. Deploying DT relies on synthesizing computer vision and automated planning while handling limited resources, uncertainty, and a continuous state space. The first flight demonstration of DT took place in July 2025 aboard the CogniSAT-6 Spacecraft. Other variations of DT include the VISTA project.
Honors
ICON Award for AI:
for dynamic targeting SpaceNews, 2025.
NSF Graduate Research Fellowship.
National Science Foundation, 2025.
Voyager Award:
outstanding achievement in research of multi-agent AI. Jet Propulsion Laboratory, 2024.
Dean's Convocation Prize:
outstanding academic achievement throughout the B.Sc. program. McGill University, 2023.
First-Class Honors in Computer Science:
highest distinction for graduating students. McGill University, 2023.
Faculty of Science Undergraduate Research Award:
research award under the supervision of Professor Hamed Hatami. McGill University, 2022.
Dean's Honor List:
awarded based on academic GPA. McGill University, 2020-2022.
Wing Hing Chan Scholarship in Science:
awarded on the basis of academic merit. McGill University, 2021.
Tomlinson Engagement Awardee for Mentoring:
enhancing undergraduate science education. McGill University, 2020.
Faculty of Science Scholarship:
awarded based on academic achievement. McGill University, 2020.
James McGill Scholarship:
recognizing accomplishments and contributions to society. McGill University, 2019.
Valedictorian:
highest distinction for graduating students. Amherst-Pelham Regional High School, 2019.
