Faculty

Daniel is the director of the Bachelors of Science in Data Science program. Daniel's research interests are in large-scale optimization modeling and algorithms. His postdoctoral research in the UCLA Department of Radiation Oncology focused on applications of optimization in radiation therapy, medical imaging, and machine learning.

Cody Carroll is an assistant professor with joint appointments in the Department of Mathematics and Statistics and the Master's in Data Science program (MSDS). He holds a PhD and MS in Statistics from the University of California, Davis and a BS in mathematics from the University of Texas at Austin. His methodological research interests focus on functional and longitudinal data, particularly in the context of human growth and aging, and his interdisciplinary work has spanned a wide range of...

Stephen Devlin is a Professor in the Department of Mathematics and Statistics and the Master’s in Data Science program (MSDS). He has also served as department chair and director of the undergraduate data science program. Stephen has a bachelor’s degree from Manhattan College in New York, and a Ph.D. in mathematics from the University of Maryland. He was a C.L.E. Moore Instructor at MIT before moving to the University of San Francisco. His research interests include both pure and applied...

Daniel Jerison studies probability theory. He is interested in the properties of random objects, such as random planar maps and abelian sand piles, and in the convergence of Markov chain Monte Carlo algorithms.

Dr. Shan Wang is the program director and an associate professor in the MS in Data Science program at the University of San Francisco. Her research interests include nonparametric statistics, biomedical data science, and utilizing data-driven methods to address social and environmental problems.

James is a statistics and data science educator, researcher, mentor, and enthusiast. His research merges computational statistics, random graph theory, and machine learning to provide interpretable machinery to model, explore, and analyze complex interacting and imaging systems. He is particularly interested in understanding the interplay between social dynamics and neuro-biological systems that describe aging, behavior and disease. His research has been supported by grants from the National...

Diane Woodbridge is an associate professor in the MS in Data Science program at the University of San Francisco. Her research interests include scalable database management systems, data fusion, and machine learning focusing on remote health monitoring (IoT in Healthcare). Prior to joining USF, Professor Woodbridge was with the scalable analysis and visualization department at Sandia National Laboratories.

Jason Meintjes is a recent graduate of the master’s program at San Francisco State University, where he worked on a thesis in moduli spaces under Dr. Emily Clader. Before that, he completed his BA with honors at Williams College, where he had the fortune of participating in the prestigious SMALL research program and was inducted into Phi Beta Kappa. But his educational journey all really started at Long Beach City College, where he rediscovered education after a long break as a musician and...

Kishore Pusukuri has over 18 years of R&D experience. His PhD thesis work covers developing software systems at the intersection of Data Engineering, Machine Learning, and Distributed Systems. Kishore is passionate about teaching BigData, Data Engineering, Data Mining, Machine Learning, Data Analytics, Data Science, Distributed Systems, Operating Systems, Data Structures & Algorithms, and C/C++/Python/Java.