GRADQUANT - Key Persons
Ankit is a Master's student in the Computer Science department at UC Riverside. He received his undergraduate education at National Institute of Technology College in India as a Computer Science major. He worked as a cloud developer in Salesforce domain for three years before starting graduate school. His current coursework and projects are centered around utilizing Artificial Intelligence and Machine Learning to create innovative applications and enhance existing methodologies. He has a data-driven approach to every engagement and also has the ability to communicate complex concepts in an accessible manner. He is also interested in Bayesian statistics, machine learning, artificial intelligence and reinforcement learning.
Brian is a Ph.D. student in Applied Statistics at the University of California, Riverside. His primary research interests include longitudinal data analysis, time series analysis, biostatistics and the relationships between population demographics, class, socio-economic status and health disparities. He hopes to combine current methodologies within the medical anthropology, public policy and statistics fields to better understand the underlying conditions that affect access to healthcare and health-related resources.
Job Titles:
- Assistant Professor
- Associate Faculty Director
Dr. Ferrari is an assistant professor in the Department of Political Science at the University of California, Riverside. His research focuses on political methodology and comparative political behavior. He investigates the relationship between socioeconomic conditions, cognitive perceptions about the socioeconomic environment, opinion formation, and political behavior. His research on political methodology focuses on causal inference, machine learning, Bayesian statistics, semi-parametric Bayesian models, and computational methods for social science. Before joining the University of California, Riverside, he worked at the University of Chicago where he taught at the Computational Social Science department. He is a research associate at the Center for Metropolitan Studies (CEM/USP) in Brazil. Dr. Ferrari holds Ph. D. in Political Science and Scientific Computing from the Department of Political Science and the Michigan Institute for Computational Discovery and Engineering (MICDE) and a graduate degree in statistics at the University of Michigan.
Job Titles:
- Professor
- Quant Faculty Director
Dr. Esterling is a professor in the Department of Political Science at the University of California, Riverside. His research focuses on deliberative democracy in American national politics. His current work identifies the conditions that lead citizens to engage constructively in public discourse. He is the author of The Political Economy of Expertise: Information and Efficiency in American National Politics (University of Michigan Press, 2004). He has published in a number of journals, including The American Political Science Review, Political Analysis, The Journal of Politics, Rationality and Society, Political Communication, and the Journal of Theoretical Politics. His work has been funded by the National Science Foundation and by the MacArthur Foundation. Esterling was previously a Robert Wood Johnson Scholar in Health Policy Research at the University of California, Berkeley and a postdoctoral research fellow at the A. Alfred Taubman Center for Public Policy and American Institutions at Brown University. He received his Ph.D. in political science from the University of Chicago in 1999.
Job Titles:
- Quant and Graduate Student Resource Center Coordinator
Jason has been supporting student success at UCR since 2004. He has an M.A. in TESOL (Bio la U.) and taught English language at Mt. San Antonio College and at Chiang Mai University before coming to UCR. He also has a B.A. in Physiology and Cell Bio logy (UC Santa Barbara), and his background includes studies in higher education, philosophy, and music production. He enjoys spending time with his family, and in his solo moments he likes to read, play guitar, surf, or observe clear night skies with binoculars and a telescope.
Michael is a Ph.D student in the evolutionary biology joint doctoral program with San Diego State and UC Riverside. Michael attended Carroll College in Helena, Montana and studied biology and mathematics as an undergraduate. He worked as a data analyst for several years before starting graduate school. His current research is in developing methods for analyzing predator-prey dynamics and how climate change may cause shifts in these dynamics. He is also interested in system dynamics, Bayesian statistics, machine learning, geospatial analysis, and time series analysis.
Siddhant is a graduate of Computer Engineering from the University of Mumbai and is currently pursuing his master's in Computer Engineering at UCR. He is primarily interested in the fields of Machine Learning, Artificial Intelligence, and Natural Language Processing in the industry. Siddhant aims to use his knowledge of Machine Learning technology to improve people's lives and make them more efficient. In his leisure time, he enjoys reading, working out, and solving coding problems.