David S. Hayden
I am a fourth year computer science Ph.D. student at the Massachusetts Institute of Technology. I work at CSAIL with the Sensing, Learning, and Inference Group where I am advised by John Fisher and Antonio Torralba.Email: email@example.com
I completed my M.S. in Computer Science at Massachusetts Institute of Technology with the Robotics, Vision, Sensing, and Networks Group where I was advised by Seth Teller. I completed my B.S. in Computer Science and Mathematics at Arizona State University where I was advised by Sethuraman Panchanathan
Broadly, my research interests are in human-aware machine learning and computer vision, by which I mean formulating models that involve humans, either as observations (as in social activity recognition), or as participants (as in wearable computers or assistive technologies that interact with the user in the process of performing inference and learning). Currently, my work is focused on Bayesian Non-Parametric modeling of time-varying interactions.