research
I work at the intersection of computational and systems neuroscience, motivated by neuroethology and the challenge of linking real-world behavior to neural activity. Within that broader goal, I’m particularly interested in sensorimotor integration and the geometry of neural population dynamics. In the Gentner Lab, I study vocal communication in songbirds. Vocal comminication naturally connects perception and action: the sounds songbirds have to interpret while listening are the same sounds they later produce and sequence during singing. That tight coupling makes it possible to study how population-level neural dynamics support sensorimotor behavior from end to end.
As a recipient of the NIH F99/K00 Predoctoral to Postdoctoral Transition Award, I aim to leverage this funding to further my research as a postdoctoral fellow. My overarching goal is to create testable models that connect circuit architecture, neural population coding, and flexible cognition and yield generalizable theoretical principles for large-scale neural activity.
My research experience spans a diverse range of disciplines, from beginning my journey doing research in Numerical Analysis to Number Theory. My formative experience as an NIH BP ENDURE fellow at Washington University in St. Louis fundamentally shaped my approach to science by giving me my first oppurtunity to work in an experimental neuroscience laboratory. It instilled in me a passion for bridging computational models with experimental work through close collaboration with experimentalists.