Dr. Kevin Esterling
GradQuant Faculty Director
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 Serin
GradQuant Coordinator
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.

Lauren Cappiello
GradQuant Lead Consultant
Life Sciences Building, Room #1425

Lauren is a Ph.D. student in Applied Statistics working under the supervision of Dr. Zhiwei Zhang. She is interested in pharmaceutical applications of statistics including clinical trials and causal inference. Her work focuses on treatment effect calibration methods, which involve translating treatment effect estimates from one population – or sub-population – to another. For her research, Lauren utilizes causal inference, machine learning, non- and semi-parametric methods, and mathematical statistics / probability theory. Lauren initially became interested in statistics because of its collaborative potential and loves to get to know other people’s research. She has TAed a variety of statistics courses and is comfortable with most undergraduate- and graduate-level statistics course material. In her free time, Lauren enjoys spending time with her husband and their cats, scuba diving, and playing DnD with friends.

Consultation types offered: Basic Statistics, Advanced Statistics, Mathematics, Nonparametric Methods, Mathematical Statistics and Probability Theory, Experimental Design, Data Mining, Machine Learning, LaTeX, Stan, SAS, R

Seth Margolis
GradQuant Consultant
Life Sciences Building, Room #1425

Seth is a Ph.D. candidate in the Psychology department. He works under Dr. Sonja Lyubomirsky in the social/personality area. His research examines happiness and personality, using both experimental and correlational methods. In his research, Seth uses multiple regression, factor analysis, structural equation modeling, and multilevel modeling.

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

Heran Bhakta
GradQuant Consultant
Life Sciences Building, Room #1425

Heran is a Ph.D. student in Bioengineering working under Dr. William Grover. His focus is in microfluidic devices and instrument development for biomedical applications. Heran’s thesis will primarily focus on the development of resonating mass sensors where he has used Python for signal processing along with data analysis. He has also TA’ed a variety of classes where he taught the basics of programming, computational modeling, and CAD.

Consultation types offered: Python, LaTeX, JMP, COMSOL, SolidWorks, Mathematics

Vashishtha “VJ” Bhatt
GradQuant Consultant
Life Sciences Building, Room #1425

VJ is a Master’s student in Mechanical Engineering. He is one of the investigators at the UCR Smart Tools Lab led by Dr. Thomas Stahovich. VJ’s thesis applies machine learning and real-time parameter estimation methods to predict hypoglycemia in Type 1 Diabetes (T1D) patients. He has experience with ensemble-classifiers and managing imbalanced datasets. VJ’s research & career focus has been the application of machine-learning methods to solve engineering problems, and he is looking forward to assisting graduate students on Python, MATLAB, machine learning, and more.

Consultation types offered: Python, Machine Learning, MATLAB, Java, Classification & Text Clustering, SolidWorks, Mathematics