I explore human social perception and cognition, with a special focus on aspects of human mind that can inspire the development of artificial intelligence that is communicative and trustworthy. I am jointly appointed in the department of communication and the department of statistics at UCLA. I obtained my Ph.D. in cognitive psychology from Yale. I then worked as a post-doctoral fellow in the Center of Brain, Mind and Machine at MIT. Prior to joining UCLA, I was a research scientist in the Computer Vision and Machine Learning labs at GE Global Research.
My research is highly inter-disciplinary, drawing tools from
cognitive science, statistics, artificial intelligence, robotics and computer
vision. One major theme of my research
is to reverse engineer human intuitive social commonsense. By merely seeing
static images or a short video, humans can spontaneously perceive a rich set of
social concepts, including animacy, intentions, beliefs, desires, emotions, personality
and even morality. The goals of my research are to (a) reveal the nature of human
social commonsense through cognitive modeling and psychophysical experiments;
(b) implement human-like social commonsense in artificial intelligence and
robots, so that they can seamlessly communicate to and collaborate with humans in
safe and trustworthy ways.
You can download my CV
Department of Statistics, UCLA 8117 Math Sciences Bldg.Los Angeles, CA 90095-1554