Genevieve is a fourth-year EECS PhD student in CSAIL and the Woods Hole Oceanographic Institution Joint Program. She is co-advised in the Sensing, Learning and Inference group by John Fisher and the Robust Robotic Group by Nicholas Roy. Her research focuses on robot decision making and sensor management for monitoring complex, stochastic environmental phenomena under uncertainty. Her research spans the areas of machine learning, Bayesian inference, planning and stochastic optimization, and reinforcement learning. She has developed algorithms and deployed robots to localize coral colonies in Barbados, search for rare plant species in Hawaii, and monitor volcanic outgassing in the Galapagos. Genevieve is an NSF GRFP Fellow.
Genevieve completed her BSE in Computer Engineering at the University of Michigan. True to her Michigander roots, she is a firm believer that lakes are superior to oceans in every way. In her free time, Genevieve is an amateur but avid birder and outdoor enthusiast, listens to hours of audiobooks on her commute, and aims to sample the cappuccino and breakfast sandwich at every hipster coffee shop in the greater Boston area.