The MS-DS is a truly interdisciplinary program, with faculty from Computer Science, Applied Mathematics, Information Science, and more.

Data science faculty members are housed in Applied Mathematics, Computer Science, Information Science and other departments across campus. Learn more about our featured faculty members below.

 

Jane Wall

Jane Wall

Faculty Director
Data Science
Dr. Wall worked for IBM and other software development companies as a software engineer, development manager, subcontract manager and account executive before getting her PhD. She developed 3 core data science courses at AU and co-founded the graduate certificate, BS and MS in Data Science.
Bobby Schnabel

Bobby Schnabel

Department External Chair • Professor
Computer Science
Dr. Schnabel is Professor and External Chair of Computer Science and CEAS Faculty Director for Entrepreneurship. He is a co-founder of the National Center for Women & Information Technology, founding director of the ATLAS Institute at CU Boulder, and a former academic CIO and dean.
Brian Zaharatos

Brian Zaharatos

Director of the Professional Master’s Degree • Senior Instructor
Applied Mathematics
Dr. Zaharatos’s primary interests are in applied statistics and the philosophy of statistics. Most of his work has been in statistical methods for photovoltaic performance modeling. He also works on applications in geography, residential building energy analysis, and consulting for statistical litigation support.
Danielle Albers Szafir

Danielle Albers Szafir

Assistant Professor of Computer Science • ATLAS Institute Fellow • Institute of Cognitive Science Fellow
Media Communication and Information
Dr. Albers Szafir’s research intersects information visualization, data science, computer graphics, and cognitive science. Research includes graphics and visualization, human-computer interaction, color science, visual data mining, interactive machine learning, and perceptual science.
James Bird

James Bird

Instructor
Data Science
Dr. Bird is a Statistician for Gallup, and his primary interests are in the intersection of deep learning and astrophysics. He has a significant interest in exploring different pedagogical approaches and their effectiveness in both a classroom and an online setting. In addition to an MA in Applied Physics/Applied Mathematics and an MS in Statistics, he received his PhD in Computer Science in 2021.
Jem Corcoran

Jem Corcoran

Associate Professor
Applied Mathematics
Dr. Corcoran is an applied probabilist specializing in MCMC methods in the Probability and Statistics Group in the Department of Applied Mathematics at the University of Colorado Boulder.
Anne Dougherty

Anne Dougherty

Senior Instructor • University of Colorado Teaching Professor • Associate Department Chair • Undergraduate Studies Chair
Applied Mathematics
Dr. Dougherty has been the J.R. Woodhull/Logicon Teaching Professor of Applied Mathematics since July 2012. In addition to teaching, Dr. Dougherty serves as a faculty advisor for applied math majors/ minors and statistics minors, the CU campus representative for the Goldwater Scholarship, and a faculty advisor for the International Mathematics Contest in Modeling.
Ioana Fleming

Ioana Fleming

Associate Teaching Professor • Chair of Undergraduate Education
Computer Science
Dr. Fleming holds an MD from Romania, and MS and PhD degrees from Johns Hopkins University. Her research combines computer vision & medical imaging, with applications in ultrasound elastography & image-guided surgery. At CU Boulder, she is Assoc. Teaching Prof. in the Computer Science Dept.
Geena Kim

Geena Kim

Post-Baccalaureate Instructor
Computer Science
Dr. Kim received a PhD from UC Berkeley, worked as an entrepreneur and technical advisor at IoT startups in the Bay Area. She taught in the MS data science program at Regis before joining CU. Research includes deep learning, computer vision, and medical image analysis.
William Kuskin

William Kuskin

Professor • CEAS Associate Dean for Digital Education
English & Engineering
Dr. Kuskin is Professor of English and CEAS Associate Dean for Digital Education. He taught one of the first humanities MOOCs on the Coursera platform, “Comic Books and Graphic Novels,” co-created the MS-EE, and is former Vice Provost.
Qin (Christine) Lv

Qin (Christine) Lv

Professor
Computer Science
Dr. Lv is a professor in the Department of Computer Science. Lv's research integrates systems, algorithms, and applications for effective and efficient data analytics in ubiquitous computing and scientific discovery. She received an MA and a Ph.D. from Princeton University.
Quentin McAndrew

Quentin McAndrew

Instructor
Academic & Learning Innovation
Dr. Quentin McAndrew, PhD, is currently Coursera's Academic Strategist and was previously Assistant Vice Provost of Academic and Learning Innovation at the University of Colorado. She taught literature and business writing and holds a BA and MA from Stanford, and a PhD from the University of Colorado.
Al Pisano

Al Pisano

Instructor
Computer Science
Dr. Pisano has a wide breadth of dynamic experience and knowledge within the educational and corporate space with proven success as a presenter, thought leader, author, innovator, entrepreneur, K-12 administrator, higher education administrator, curriculum and program developer, educational consultant and instructor.
Sriram Sankaranarayanan

Sriram Sankaranarayanan

Associate Professor
Computer Science
Dr. Sankaranarayanan is a professor in the CS department, and a member of the Programming Languages & Verification and Computer & Cyber-Physical Systems research groups. He was a member of research staff at NEC Laboratories America from 2005-2009, and graduated with a PhD in (theoretical) CS from Stanford University in 2005.
Dave Underwood

Dave Underwood

Lecturer (Retired)
Information Technology
Dave Underwood has worked as a designer, lecturer, and consultant at the University of Colorado Boulder. He has helped design multimedia assignments and has coached students in the effective use of media tools. Most recently, he has assisted in departmental branding at the University.
Di Wu

Di Wu

Instructor
Data Science
Professor Wu’s primary interests are in temporal databases, the semantic web and data science. Most of his research has been in extending the Resource Description Framework (RDF) for temporal dimensions. Before joining CU, he taught algorithms and data structures, programming languages, and database management courses.