I finished my Ph.D in Statistics and Operations Research under the advisement of Professors Shankar Bhamidi and Andrew Nobel at the University of North Carolina at Chapel Hill in 2015. I am now an Assistant Professor of Statistics at the University of San Francisco (USF), where I am part of the Department of Mathematics and Statistics, the Master of Analytics program, and co-Director of the Data Science Program.

My research focuses on the development, analysis and application of computational methods for complex network data. My work relies on applying statistical principles from random graph theory to enable inference on various families of networks, including multilayer, dynamic and weighted networks. I work on network problems in a variety of application areas, including functional brain imaging, political voting trends, and labor market competition. See my Research page to find out more.

I also work closely with companies in the Bay Area to solve exciting data science and network analysis problems. This year I am excited to be working with analytics members at the Houston Astros, Eventbrite, and the San Francisco 49ers. 

Feel free to explore the links on this website for more details about the nature of my research, teaching, and my role in statistics.


I will be teaching a 4-week summer course entitled "Network Analysis I" for the ICPSR Summer Program in Quantitative Methods of Social Research in Ann Arbor, Michigan from June 26 - July 21, 2017. See this website for more information.

I am organizing the first annual SF Data Institute Conference to be held at the downtown campus at the University of San Francisco on October 15th - 17th. See this website for more information about the conference.