With a background in Physics and a deep passion for computational modeling, I explore the intricate mechanisms behind consciousness, decision-making, neuroeconomics, and game theory. My work lies at the intersection of neuroscience, machine learning, and Bayesian statistics, where I develop and apply mathematical models to understand how individuals process uncertainty, evaluate risk, and form beliefs based on experience. From decision trees to reinforcement learning, I am fascinated by the algorithms—both artificial and biological—that drive our choices.

Currently, my research delves into cognitive processes underlying complex decision-making, using probabilistic modeling and physiological data, such as pupillometry, to gain insights into cognitive effort, confidence, and adaptive learning. I am particularly interested in how our brains weigh evidence, navigate trade-offs, and update expectations based on feedback. Whether analyzing Monty Hall-style experiments or designing experiments that probe the boundaries of rationality, my goal is to decode the hidden computations shaping human thought.

Beyond the lab, I apply my analytical mindset to game design, creating systems that challenge players to think strategically and adapt dynamically. I am drawn to games that mirror real-world decision-making, whether in the form of resource management, negotiation, or risk assessment. In my free time, I immerse myself in disc golf, a sport that, much like cognitive science, blends precision, adaptation, and an understanding of physics.

Whether modeling decision-making in the brain or optimizing a disc’s flight path, I am continuously captivated by the patterns that govern both thought and motion. My work is driven by the belief that understanding cognition isn’t just about decoding the brain—it’s about appreciating the elegant strategies nature has evolved to solve problems, from neurons to game theory to the perfect disc golf throw.

>> Interests

• Computational Modeling of Decision-Making
• Neuroeconomics & Game Theory
• Pupillometry & Cognitive Effort
• Experimental Design
• Behavioral Analysis
• Disc Golf, Board Games & Cooking

>> Education

BS Physics, 2022 University of North Carolina at Greensboro