Program Director

Harney Science Center 121B

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.

  • PhD, Mathematics, UCLA

Full-Time Faculty

Harney Science Center 122C

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...

  • PhD, Mathematics, University of Maryland, 2001
Harney G44

Paul Intrevado is an Assistant Professor of Data Science in the Department of Mathematics & Statistics. Paul is a co-director of the Machine Learning, Artificial Intelligence, Gaming Intelligence and Computing at Scale (MAGICS) Lab. He previously served as the MS Data Science Practicum Director [2014-2017], and is the founding Associate Director of the Data Institute [2017].

Professor Intrevado’s research focuses on service operations, including healthcare, hospitality and sports. Most...

  • PhD, Operations Management, McGill University
  • MSc Industrial Engineering, Purdue University
  • BSc Industrial Engineering, Purdue University
  • Baccalaureate of Commerce, McGill University

Dr. Shan Wang is the program director and an assistant 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.

  • PhD, Statistics, Purdue University, 2015
  • BS, Mathematics, Fudan University, 2009
101 Howard 606

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.

  • PhD, Computer Science, University of California, Los Angeles
  • MS, Computer Science, University of California, Los Angeles
  • BS, Computer Science and Engineering, Sogang University, South Korea

Part-Time Faculty

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.

  • UC Riverside, PhD in Computer Science, 2012