Bio

Anna Huang is an Associate Professor in Music and Theater Arts (MTA) and the Robert N. Noyce Career Development Professor, holding an MIT Schwarzman College of Computing shared position with Electrical Engineering and Computer Science (EECS). At CSAIL, she directs the Human-AI Resonance (HAI-Res, pronounced Hi-Res) research lab, co-designing with musicians new algorithms and interactions for Human-AI partnerships and creative practice, drawing from techniques in generative modeling, reinforcement learning, and human-computer interaction. She joined MIT last Fall to help start a new graduate program in Music Technology and Computation. This year, she is also the Rieman and Baketel Fellow for Music at the Harvard Radcliffe Institute. Since 2016, she has been part of the Magenta team in Google Brain and then Google DeepMind, where she created Music Transformer and the machine learning model that powered the Google Bach Doodle. She holds a PhD from Harvard University, master’s from the MIT Media Lab, and a dual bachelor’s from University of Southern California in music composition and CS.