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
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
Shan is an assistant professor at the University of San Francisco and currently teaching full time for USF's Data Science programs. Her research interests are nonparametric estimation, prediction models, and applied statistics. Shan also works closely with experts from different fields. She has experiences in NIH and NSF grants in cancer research and GIS. She holds a PhD in statistics from Purdue University (IUPUI campus) and a BS in mathematics from Fudan University in China.
- PhD, Statistics, Purdue University, 2015
- BS, Mathematics, Fudan University, 2009
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