Faculty

Dr. William (Bill) Bosl, Associate Professor of Health Informatics and Clinical Psychology at the University of San Francisco. His primary research focus is on clinical neurophysiology and neurodiagnostics. In 2018 Professor Bosl was appointed Visiting Associate Professor of Pediatrics at Harvard Medical School. Dr. Bosl is leading a series of projects to discover patterns in infant EEG signals that can serve as biomarkers for autism and other neurodevelopmental pathology in collaboration with...

David is an assistant professor at the University of San Francisco. His research interests are natural language processing, machine learning, and databases — specifically on the personal and cultural/demographic information transmitted during speech and typing. This research may lead to more accurate speech recognition systems. Prior to joining USF, David was a research assistant in the Speech Lab at Queens College and an instructor at Hunter College. He has previously worked for the City of...

Sophie’s research interests include data visualization and computer science education. She is a co-founder of the Visualization and Graphics Lab (VGL) and on the steering committee for the Symposium on Visualization for Cyber Security (VizSec). She is passionate about supporting diverse learners in the classroom, and integrating one-on-one student/faculty interaction into her courses on software development and data visualization. https://sjengle.cs.usfca.edu

Patricia teaches bioinformatics, clinical decision support and other courses in the health informatics program and the computer science department. She’s primarily interested in working with students to apply data analytics to the health domain, with the goal of producing software tools that perform analyses for clinicians, researchers, and the public. Collaborating with her students is a big priority for Patricia; a number of them are co-authors of her peer-reviewed articles, and their work...

Associate Professor of Finance Jeff Hamrick has been instrumental in developing USF's MS in Data Science (MSDS) program. His teaching also supports the university's Master of Science in Financial Analysis (MSFA) program. For the MSDS program, he has designed courses in linear regression analysis, time series analysis, multivariate statistical analysis, and SAS programming. In the MSFA program, he teaches econometrics and financial econometrics. Professor Hamrick contributes his extensive...

Yannet is an assistant professor in the Master’s in Data Science program, and her research interests lie in the application of machine learning and deep learning to medical data. She holds a PhD in applied mathematics from Cornell University and a BS in mathematics from the University of Havana, Cuba. After a postdoctoral fellowship at UC Berkeley, she worked for five years as a data scientist at Google. Yannet co-founded Akualab, a start-up that helped organizations develop data-driven...

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...

Terence is a professor of computer science and is the creator of the ANTLR parser generator. He herded programmers and implemented the large jGuru developers web site, during which time he developed and refined the StringTemplate engine. Terence has consulted for and held various technical positions at companies such as IBM, Lockheed Missiles and Space, NeXT, and Renault Automation. Terence was an expert witness for Google in the Oracle v Google Android lawsuit. His passion is writing software....

Nicholas Ross received his PhD from UCLA's Anderson School of Management in 2012. His research interests revolve around how asymmetric information affects decision making and using data to understand those effects. Most recently he has worked on a number of cloud-based systems which use machine learning and other data science techniques to extract information from complex data sources. Prior to receiving his PhD, Nick worked as a litigation consultant at Bates White in Washington DC and San...

Brian Spiering is an Assistant Professor at University of San Francisco. His passions are teaching, Python, and Data Science for social good.

Rachel Thomas is the co-founder of fast.ai, which created the Practical Deep Learning for Coders course taken by over 200,000 students and which has been featured in The Economist, MIT Tech Review, and Forbes. She was selected by Forbes as one of 20 Incredible Women in AI, earned her math PhD at Duke, and was an early engineer at Uber. Rachel is a popular writer and keynote speaker on topics of data ethics, AI accessibility, and bias in machine learning.

David Uminsky's research interests are in applied mathematics. He is interested in unsupervised machine learning, data clustering, algebraic signal processing, as well as pattern formation, dynamical systems and fluids. David was selected in 2015 by the National Academy of Sciences (NAS) as a Kavli Frontiers of Science Fellow. Each year, 100 researchers under the age of 45 are selected by the academy, and the 20% of the current NAS were previous Kavli Fellows. He is also the founding director...

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.

James is an Assistant Professor of Statistics and Co-Director of the BS in Data Science program at the University of San Francisco. He has joint appointments in the Department of Mathematics and Statistics and the MS in Data Science program, where he has developed and taught courses in Bayesian statistics, machine learning, data science, and network analysis. In research, James develops new statistical and computational techniques to model, analyze, and explore high-dimensional and relational (...

Diane Woodbridge is an assistant professor in the MS in Data Science program at the University of San Francisco. Her research interests include database management systems, data fusion and data mining in various domains including biomedical, geoscience and geospatial remote sensing. Prior to joining USF, Professor Woodbridge was with the scalable analysis and visualization department at Sandia National Laboratories.