GradQuant Staff


Kevin Esterling
Dr. Kevin Esterling, GradQuant Faculty Director

Dr. Esterling is a professor in the Department of Political Science and the School of Public Policy 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.



Diogo smiling at the camera
Dr. Diogo Ferrari, GradQuant 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.



A photo of Jason from the shoulders up, smiling, wearing a black t-shirt and tan jacket
Jason Chou, GradQuant and GSRC Program Specialist

Jason has been supporting student success at UCR since 2004. He has an M.A. in TESOL (Biola 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 Biology (UC Santa Barbara) and an M.A. in Philosophy (Talbot Theological Seminary), and his background includes studies in higher education (UC Riverside) and music production (Musicians Institute). 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.

Office Hours: Mondays, 10am - 11am
Office: Life Sciences 1425
Phone: (951) 827-4291


Rajveer Jat
Rajveer Jat, GradQuant Lead Consultant

Rajveer is a Ph.D. candidate in Economics at the University of California, Riverside. He previously earned an MS in Quantitative Economics from the Indian Statistical Institute and a Bachelor of Technology in Electrical Engineering from Indian Institute of Technology (IIT) Roorkee. Rajveer specializes in theoretical econometrics, non-parametric statistics, and machine learning, focusing on finance and macroeconomics applications. His recent work delves into time series forecasting and distribution learning using higher-order moments for enhanced risk assessments. Rajveer has also provided his expertise as a quantitative consultant to prestigious international firms such as KPMG, RTI International, and the Asian Infrastructure Investment Bank.

Specialties: Machine Learning, High-dimensional Statistics, Forecasting, Non-parametric Statistics, Causal Inference Techniques, Statistical Inference, Probability Theory, R, Python, Stata, Factor Models, Empirical Methods in Finance, Quantitative Finance, LaTeX

Office: Life Sciences 1425
Phone: (951) 827-4291


Michael smiling at camera
Michael Remington, GradQuant Consultant

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.

Specialties: R programming, Python, SQL, Bash scripting, Git, LaTeX, regression analysis, supervised machine learning, time series analysis, Bayesian statistics and probability


Harry Muttram GradQuant Consultant
Harry Muttram, GradQuant Consultant

Harry is a Ph.D. student in the Department of Political Science at the University of California, Riverside. He previously studied at Cal Poly, where he received a B.A. in Political Science with a minor in Philosophy. Harry’s research interests include political representation, bureaucracy, political psychology, and quantitative methodology. His current work focuses on how contemporary group-centered explanations of political behavior shift when accounting for different conceptualizations of group identity. He is also interested in understanding the strategic interaction of institutional actors during the rulemaking process.

Specialties: Statistical inference, regression analysis, causal inference techniques, R, LaTeX 


Zariah Tolman GradQuant Consultant
Zariah Tolman, GradQuant Consultant

Zariah is a 2nd-year PhD student in Psychology at UCR. She holds a MS in Innovation and Management, a BS in Neuroscience, and a BS in Biochemistry from Montana State University. Her research interests are at the intersection of psychology and machine learning techniques. Her primary research project uses text analysis and topic modeling to understand how youth participants engage with a mentoring app she created, called the Positivity Outward Mentoring App. She then explores the relationship between app engagement and improvement of outcomes such as resilience, self-awareness, and well-being. 

Specialties: R programming, text analysis, inference theory, regression methods, Python, data wrangling


Rohith K
Rohith Kancharakuntla, GradQuant Consultant

Rohith is a master's student in the Department of Computer Science at UCR. He holds a bachelor's degree in computer science and worked as a software developer for two years at J.P. Morgan & Chase, where his enthusiasm for technology was channeled into solving complex real-world problems. He enjoys spending time with his family and friends, and likes to watch anime, play tactical FPS games (CSGO, Valorant), and explore new cuisines.

Specialties: C, C++, Java, Python, HTML, CSS, JavaScript, TypeScript, MySQL, Cassandra, Angular, React, Spring Boot, Kafka, Flask, NodeJS, ExpressJS, AWS, Cloud Foundry, Docker, Jenkins, CI/CD pipelines