I am a PhD candidate in the Neuroengineering Laboratory at EPFL, the Swiss Federal Institute of Technology in Lausanne. I am interested in reverse-engineering the neural controller underlying agile and robust animal behaviors. Specifically, I build biologically constrained artificial neural networks to reproduce the behavior of Drosophila, the common fruit fly. I hope these models will teach us about fundamental neurobiology and inspire more efficient control architecture for robotics and AI. I am a Boehringer Ingelheim Fonds PhD fellow.
Before my PhD, I worked at Habiterre, a company devoted to ecosystems modeling and sustainability benchmarking. I led an NSF-funded project that systematically evaluates farmland resilience using satellite images and machine learning. I received my bachelor’s and master’s degrees from the University of Illinois at Urbana-Champaign.