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Dr. Kevin Esterling
GradQuant Faculty Director
kevin.esterling@ucr.edu
Watkins Hall, Room #2228

Prof. Esterling’s 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.


Dr. Yelda Serinagaoglu
GradQuant Coordinator
yelda.serinagaoglu@ucr.edu
Life Sciences Building, Room #1425

Yelda worked as a research scientist for several years before she moved into graduate student affairs. She received her B.Sc. in Molecular Biology and Genetics from Middle East Technical University in Ankara, Turkey ( 2001), her Ph.D. in Molecular, Cellular, and Developmental Biology from The Ohio State University (2007) and her M.A. in Higher Education/Student Personnel from the University of Mississippi (2017). Her research interests ranged from transcriptional control of gene expression in the mouse cerebellum to peripheral nervous system development, and her work was published in journals such as Molecular & Cellular Neuroscience and Developmental Biology. Combining her experiences in research and student affairs, Yelda wants to support graduate students in their academic and professional development. In her free time, she enjoys reading, cooking, and re-watching Star Trek series.

Consultation types offered: Experimental design in molecular biology, Excel, GraphPad Prism, LaTeX, Qualtrics


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Jacob Gray
GradQuant Lead Consultant
Life Sciences Building, Room #1425

Jacob is currently a Ph.D. candidate in the Psychology department with concentrations in social/personality and quantitative psychology. His substantive research interests rest at the intersection of motivational and personality processes within romantic relationships. Jacob enjoys finding new and exciting ways to model how individuals in a dyad interact, while incorporating modern statistical techniques such as structural equation modeling, multilevel modeling, growth mixture modeling, and event history analysis. He has taught statistics to both undergraduates and graduate students.

Consultation types offered: Basic Statistics, Advanced Statistics, Experimental Design, Nonparametric Design, SPSS, R, Excel, Mplus


Angelica Falkenstein
GradQuant Consultant
Life Sciences Building, Room #1425

Angelica is a Ph.D. candidate in the social and personality program within the Psychology Department. She is currently conducting research on uncertainty navigation during difficult waiting periods, with a focus on social cognition and expectation management processes in times of prolonged uncertainty. Angelica has experience teaching both statistical and research methods to undergraduates and utilizes regression, longitudinal data analyses, and meta-analysis in her own research.

Consultations types offered: Basic Statistics, Advanced Statistics, Probability Theory, Experimental Design, Nonparametric Design,  SAS, SPSS, STATA


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Rohith Mohan
GradQuant Consultant
Life Sciences Building, Room #1425

Rohith is a 5th-year Ph.D. candidate in the Bioengineering department. His research interests are virtual drug screening, biological network analysis, and mechanistic studies of protein interactions. Specifically, his research focuses on protein interactions in the complement system through developing and utilizing computational tools as well as applying quantitative methods such as principal component analysis.

Consultation types offered: Experimental Design, Basic Statistics, MySQL, Machine Learning, Data Mining, Excel, R, Python, Perl, C, C#, C++, HTML