Dr. Anne Draelos

Biography

Anne Draelos studied Physics and Computer Science as an undergraduate at North Carolina State University, followed by obtaining a Master's degree in Electrical and Computer Engineering and a Ph.D. in Physics from Duke University. She completed a postdoctoral fellowship in systems neuroscience at Duke University, where she focused on building algorithms for real-time analysis of neural data. As a faculty member at the University of Michigan, her research centers on utilizing machine learning and statistical techniques to facilitate the real-time analysis of high-dimensional neural and behavioral data. The Draelos lab aims to understand the computations in large-scale neural circuits and their adaptive responses during real-time inference in behaving animals, developing statistical machine-learning algorithms capable of altering experimental conditions based on the real-time analysis of neural and behavioral data. Anne works closely with a number of experimental collaborators.

Research Interests

Awards