People

  • Jasmine Botello

    Executive Assistant

    Jasmine Botello

    Executive Assistant

    Address: 384E Nieuwland Science Hall

    Phone: 574.631.7095

    Email: abotello@nd.edu

    Jasmine Botello provides administrative support for Nitesh Chawla, Director of Lucy Family Institute for Data & Society, and the Institute faculty and students. Before joining Notre Dame full time, Jasmine worked as a student for the CRC and Latino Studies on campus. Jasmine holds a BA in Studio Art while minoring in Communication from Holy Cross College and is currently pursuing a Masters of Art in Health Communication from Indiana University of South Bend.

  • Sugana Chawla

    Education and Outreach Program Manager

    Sugana Chawla

    Education and Outreach Program Manager

    Address: 384A Nieuwland Science Hall

    Phone: 574.631.2882

    Email: schawla@nd.edu

    Sugana Chawla supports the new iTReDS program as the Education and Outreach Program Manager. Prior to joining Notre Dame, she was in Maryland where she also received her MA in Education. She has a BS in Environmental Science and Policy from the University of South Florida. She is excited to apply her STEM background coupled with her education degree to work with students and faculty, and is driven by the purposeful work on making a difference to scholarship and communities.

  • Nitesh Chawla

    Director

    Nitesh Chawla

    Director

    Address: 384 Nieuwland Science Hall

    Phone: 574.631.1090

    Email: nchawla@nd.edu

    Nitesh Chawla serves as the Founding Director of the Lucy Family Institute for Data and Society. In addition to this role, he is the Frank Freimann Professor of Computer Science and Engineering and the Director of Data Inference Analysis and Learning Lab. Chawla's research is focused on machine learning, data science, and network science. He is at the frontier of interdisciplinary applications with innovative work in healthcare analytics, social and information networks, business analytics, national security, and climate/environmental sciences.

  • Brian Fogarty

    Associate Director (CSSR)

    Brian Fogarty

    Associate Director (CSSR)

    Address: 1020 Jenkins Nanovic Halls

    Phone: 574.631.6166

    Email: bfogart2@nd.edu
     

    Brian Fogarty serves as an associate director for Lucy Family Institute, specifically overseeing the Center for Social Science Research. He is also concurrent associate professor of the practice in the Department of Political Science. At 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

    CSSR Lead Data Scientist

    Cheng Liu

    CSSR Lead Data Scientist

    Address: 1020J Jenkins Nanovic Halls

    Phone: 574.631.1168

    Email: cliu7@nd.edu

    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.

  • Christian Poellabauer

    Associate Director (AeTL)

    Christian Poellabauer

    Associate Director (AeTL)

    Address: 323B Cushing Hall of Engineering

    Phone: 574.631.9131

    Email: cpoellab@nd.edu

    Christian Poellabauer serves as an associate director for Lucy Family Institute, specifically overseeing the Applied Analytics & Emerging Technology Lab (AeTL). In this role, he collaborates with iNDustry Labs to help accelerate economic and innovation impact in the South-Bend Elkhart region. Poellabauer's research focuses on the use of mobile, ubiquitous, and wearable systems and devices for a variety of interdisciplinary challenges, such as those found in healthcare, conservation, and transportation. He also is affiliated with the Center for Civic Innovation, Institute for Precision Health, and the Pulte Institute for Global Development.

  • Yang Xu

    CSSR Data Science Consultant

    Yang Xu

    CSSR Data Science Consultant

    Address: 1020F Jenkins Nanovic Halls

    Phone: 574.631.3696

    Email: yxu6@nd.edu

    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.

  • Jessica Young

    CSSR Data Science Consultant

    Jessica Young

    CSSR Data Science Consultant

    Address: 1020I Jenkins Nanovic Halls

    Phone: 574.631.8025

    Email: jyoung22@nd.edu

    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.