I work as an Assistant Professor in the Department of Statistics at University of Connecticut.  

My primary research areas are robust Bayesian inference, statistical network analysis, hierarchical Bayesian analysis, and efficient Bayesian computation. Two of my favorite application areas are analysis of network data and forensic footwear analysis. A list of my research works can be found on my publications page.

Currently, I teach STAT5125, which is a statistical computing course for our Master of Data Science program. I also teach STAT3345Q: Probability Models for Engineers.

I have the privilege of working with multiple talented graduate students, and organize a weekly in-person reading group on Bayesian statistics. If you're a current UConn student, postdoc, or faculty member, drop me an email if you're interested in joining our group. I am also involved with the New England Statistical Society---in particular the NextGen committee.

Before joining UConn, I was a postdoctoral researcher in the Department of Biostatistics at Harvard School of Public Health working with Jeff Miller. I hold a joint PhD in Statistics and Machine Learning PhD Program from Carnegie Mellon University, a MSc in Statistics from University of British Columbia, and a BScH in Mathematics and Statistics from Acadia University.