Brian J. Fogarty, Ph.D.
Office: 1020 Jenkins Nanovic Halls
Brian Fogarty joined the Center for Social Science Research, within the Center for Research Computing, as director and associate professor of the practice in 2019. He is also concurrent associate professor of the practice in the Department of Political Science. As director of the CSSR, he works with social science researchers to support their project research design, data, and quantitative analysis needs. His current research focuses on the news media as a strategic actor in politics and understanding perceptions of voter and electoral fraud. Before joining Notre Dame, he was a lecturer in quantitative social science at the University of Glasgow’s Q-Step Centre. Prior to Glasgow, he was an associate professor of political science at the University of Missouri – St. Louis. He received his Ph.D. in political science from the University of North Carolina – Chapel Hill.
Cheng Liu, Ph.D.
Lead Data Scientist
Office: 1020J Jenkins Nanovic Halls
Cheng Liu is a Data Scientist for the Center for Social Science Research and a concurrent Research Assistant Professor in Department of Psychology. Before joining the CSSR, Dr. Liu was a Computational Scientist in the Center for Research Computing for several years. His research interests include computational modeling and data mining approaches to large-scale educational assessment data, as well as the infrastructure development of online learning and assessment systems. Dr. Liu provides statistical consultation to support social science research with modern information technology. He also seeks opportunities to collaborate on grant proposals.
Data Science Consultant
Office: 1020F Jenkins Nanovic Halls
Yang Xu is a Data Science Consultant for the Center for Social Science Research. In 2017, he earned a master's degree in Applied and Computational Mathematics and Statistics from the University of Notre Dame. Before coming to Notre Dame, he worked as a civilian nuclear power engineer. In his current role, he develops Bayesian models and performs data analysis embedded with machine learning algorithms. His research interests include convolution and recurrent neural networks.
Data Science Consultant
Office: 1020I Jenkins Nanovic Halls
Jessica Young is a Data Science Consultant for the Center for Social Science Research. She graduated summa cum laude as a Commonwealth Honors Scholar from Westfield State University in 2014 with a B.A. in Mathematics and a B.A. in Economics. In 2017 she completed her master's thesis entitled "Predicting Cholera Positive Cases in Haiti," graduating from Rochester Institute of Technology with her M.S. in Applied Statistics. She frequently uses R and focuses on utilizing machine learning methods to solve problems.