I am a postdoctoral researcher in the Department of Psychological and Brain Sciences at Indiana University Bloomington advised by Linda B. Smith at the Cognitive Development Lab.

My research focuses on studying the development of interpersonal coordination and unfolding the coupled dynamics and structures of multimodal sensory-motor behaviors with computational approaches. Using state-of-art wearable sensors, such as wireless eye-trackers, motion tracking and multi-camera capture system, I design and conduct infant-parent interaction experiments to understand how humans develop the flexible and generalizable sensory-motor coordination skills to collaborate with each other. I also used social robots as embodied agents to investigate the effects of different gaze coordination behaviors and statistical learning models in human-robot interaction studies.

Human behavioral data collected in natural environments are multimodal, stochastic, interdependent and noisy. To combat this “curse of dimensionality” challenge, I am always enthused about developing novel time series analysis methods and machine learning algorithms to examine and model the mechanism that underlies complex human behaviors or any sets of stochastic multivariate time series.

Recently, I joined a wonderful team of researchers to create Peekbank: an open large-scale eye-tracking data repository on children’s word recognition development. With this on-going effort, we aim to address the theoretical and methodological challenges in measuring vocabulary development with eye-tracking data in this big-data era of psychology with advanced sensors and computational models.

I received my dual Ph.D. degree in Computer Science and Cognitive Science from Indiana University Bloomington in 2018, as well as a M.S. degree in Computer Science in 2012. My undergraduate B.E. degree in Software Engineering was obtained from Nanjing University in 2009. Here is my CV.