Jeff M. Phillips

Associate Professor, School of Computing, University of Utah

He specializes in designing algorithms for data science. This includes work in geometric data analysis, data mining, scaling to big data, spatial statistics, databases, and machine learning. His recent focus has been on understanding word vector embeddings, large-scale spatial statistics, approximations in kernel methods, and developing new streaming algorithms for core tasks in data analysis.

Associate Director of Research

Suresh Venkatasubramanian

Professor, School of Computing, University of Utah

I’m interested in the problem of algorithmic fairness: ensuring that in a world of automated decision-making, decisions that get made about us and for us are fair, accountable and transparent.

This is the culmination of a series of research explorations that started with algorithms and computational geometry, lifted to high dimensional geometry and sublinear algorithms, with a random sampling of work in clustering and kernel methods.

Associate Director of Outreach

Bei Wang

Assistant Professor, School of Computing, University of Utah
Faculty member, Scientific Computing and Imaging (SCI) Institute, University of Utah

Her research expertise lies in the theoretical, algorithmic, and application aspects of data analysis and data visualization, with a focus on topological techniques. And her research interests include: topological data analysis, data visualization, computational topology, computational geometry, machine learning and data mining. Previously, she have worked on projects related to computational biology and bioinformatics, as well as robotics.

Associate Director of Student-Engagement

Vivek Srikumar

Associate Professor, School of Computing, University of Utah

Vivek is a researcher whose focus lies in the domains of Natural Language Processing and Machine Learning. His research focuses on solving and exploring problems that arise when engineers try to scale NLP solutions to large problems, and when they try to teach a computer to reason about textual data with limited explicit supervision. His work has been published in various AI, NLP and machine learning venues and has been recognized by paper awards from EMNLP and CoNLL. His work has been supported by awards from the NSF, the BSF, the NIH, and several companies. He obtained his Ph.D. from the University of Illinois at Urbana-Champaign in 2013 and was a post-doctoral scholar at Stanford University.

Core Members

Aditya Bhaskara

Assistant Professor, School of Computing, University of Utah

His research interests include theoretical computer science, specifically the design and analysis of algorithms, approximation algorithms for optimization problems, spectral methods; and machine learning, such as complexity of learning, design of provably efficient learning algorithms, robustness in machine learning.

Lajos Horvath

Professor, Department of Mathematics, University of Utah

His research interests are primarily in mathematical statistics, time series, functional data inference, and econometrics.

Alexander Lex

Associate Professor, Computer Science, University of Utah
Faculty Member, Scientific Computing and Imaging (SCI) Institute, University of Utah

His research is on data visualization methods for domain experts. He design, build, and study interactive visual data analysis solutions that aid researchers in data driven fields, such as biology and medicine, in understanding and communicating complex data sets.

Feifei Li

Professor, Computer Science, University of Utah
ACM Distinguished Scientist

His research interests include database systems and large-scale data management, systems, and analytics; security issues in data management and systems; mining and machine learning driven methods for system performance tuning, monitoring, and data analytics.

Braxton Osting

Associate Professor, Department of Mathematics, University of Utah

He has broad interests in analytical and computational methods for problems in applied mathematics, especially in partial differential equations, optimization and control, graph theory, and machine learning.

Blair Sullivan

Associate Professor, School of Computing, University of Utah
Adjunct Faculty, Department of Computer Science, North Carolina State University

Research interests include parameterized algorithms, structural graph theory, applied discrete mathematics, random graphs, and combinatorial scientific computing. Recent work focuses on integrating techniques from structural graph theory into tools for scalable network analysis.

Shandian Zhe

Assistant Professor, School of Computing, University of Utah

His research interests mainly lie in probabilistic machine learning. That is, using probabilistic frameworks to formulate learning problems and to infer/estimate model parameters. His research include but are not limited to probabilistic graphical models, Bayesian nonparametric, approximate inference, Bayesian deep learning, sparse learning, large-scale machine learning and kernel methods. From application side, He have developed probabilistic methods for microarray data analysis, association study for Alzheimer’s disease, functional magnetic resonance imaging (fMRI) data analysis, and click-through-rate prediction for online advertising.

Affiliated Members

Damian Borbolla

Assistant Professor (Clinical), Biomedical Informatics, University of Utah

His research interests include Clinical Decision Support Systems, Standards and Interoperability, Electronic Health Record Systems.

Joel R. Brownstein

Research Associate Professor, Physics And Astronomy, University of Utah

His research interests are primarily in dark matter, gravity, gravitational lens detection and modeling, and advanced tools for accessing, reducing and analyzing data. He is the PI for the Sloan Digital Science Survey (SDSS) science archive, centered at the U, responsible for the survey’s data processing and web applications.

Hilary Coon

Adjunct Professor, Biomedical Informatics, University of Utah
Adjunct Professor, Internal Medicine, University of Utah
Professor, Psychiatry, University of Utah

Suicide, Autism Spectrum Disorders, Statistical Genetics, Genetic Epidemiology, Child Psychiatry, Obesity, Pulmonary fibrosis, Nicotine Dependence

Kyle S. Dawson

Associate Professor, Physics And Astronomy, University of Utah

He studies the fundamental properties of the Universe through observational cosmology. He is the Principal Investigator for the extended Baryon Oscillation Spectroscopic Survey (eBOSS) at Apache Point Observatory. In eBOSS, they will place the most precise distance constraints to date in the 0.8<z<3.5 redshift range. He also help prepare the cosmology program for the Dark Energy Spectroscopic Instrument (DESI). DESI will begin in 2020 and will be 10X larger than any other spectroscopic program.

Heidi A. Hanson

Research Scientist, Utah Population Database, Huntsman Cancer Institute
Adjunct Assistant Professor, Sociology Department
Adjunct Assistant Professor, Population Health Sciences
Co-Leader CTSA Early Life Exposures Working Group, Clinical and Tranlational Science Awards, Lifespan Domain Task Force
Research Assistant Professor, Family And Preventive Medicine
Assistant Professor, Surgery

The goal of her research is to promote healthy aging and longevity by understanding the genetic and environmental determinants of health throughout the life course.

John Horel

Professor, Department of Atmospheric Sciences, University of Utah

His research is centered on the observation and analysis of weather and climate processes in mountainous regions. His current research activities include further development of MesoWest and SynopticLabs (see,, which provide access to surface weather observations for operational, research, and educational applications. They also provide a foundation from which to conduct research to improve numerical models and data assimilation techniques over complex terrain and evaluate the cost effectiveness of surface observing networks. He also am involved in research and development related to fire weather applications, the Great Salt Lake, and air quality along the Wasatch Front and in the Uintah Basin.

Zac Imel

Associate Professor, Educational Psychology, University of Utah
Adjunct Associate Professor, Psychiatry, University of Utah

He is an Assistant Professor with the Counseling Psychology Program in the Department of Educational Psychology and Adjunct Assistant Professor in the Department of Psychiatry at the University of Utah. His primary interests involve research, teaching, and service related to the promotion and understanding of quality mental health treatment. Specific programs of research include methods for identifying and understanding the behaviors of effective (and less effective) therapists, the utilization of mental health services, emerging linguistic techniques for modeling psychotherapy process, and meta-analysis of treatment outcome studies.

Sarang Joshi

Professor, Biomedical Engineering, University of Utah
Faculty Member, Scientific Computing and Imaging (SCI) Institute, University of Utah

Sarang’s research interests are in the emerging field of Computational Anatomy and have recently focused on its application to Radiation Oncology. Most recently he spent a year on sabbatical at DKFZ (German Cancer Research Center) in Heidelberg, Germany, as a visiting scientist in the Department of Medical Physics where he focused on developing four dimensional radiation therapy approaches for improved treatment of Prostate and Lung Cancer.

Xiaoyue Liu

Professional Engineer, State of Utah
Associate Professor, Civil And Environmental Engin, University of Utah

She has conducted extensive research in sustainable transportation system with a focus on shared mobility, public transit, managed lanes, large-scale transportation modeling and simulation, GIS-based infrastructure asset management, network complexity of social sciences, and Intelligent Transportation Systems (ITS).

Harish Kumar Maringanti

Associate Dean for IT & Digital Library Services, Marriott Library

Digital Media

Olivia Sheng

Emma Eccles Jones Presidential Chair, Information Systems, University of Utah
Faculty Member, David Eccles School of Business, University of Utah

Research Areas: Enterprise System Integration, Knowledge Management, Data Mining, Data Warehouse, Personalization, Process Modeling, Mining and Re-engineering, Web Caching and Content Storage Management, and E-procurement Evaluation and Technology

Ken R. Smith

Distinguished Professor, Family And Consumer Studies, University of Utah
Director, Pedigree and Population Resource (Utah Population Database), Population Sciences, Huntsman Cancer Institute
Adjunct Professor, Sociology Department, University of Utah
Adjunct Professor, Biomedical Informatics, University of Utah

I am a biodemographer interested in familial aspects of health, aging and longevity. Currently I am investigating the socio-environmental and genetic origins of rates of aging in humans and exceptional longevity in families. The purpose of this work is to determine how overall aging may be a key factor in determining the risks of multiple major causes of disease associated with age and to identify genes and gene-environment interactions affecting exceptional human longevity. This area of research also focuses on the associations between life history traits, primarily fertility and longevity. My current work examines the role of early life events and how they affect life chances and health outcomes of middle-aged and older adults. My other key research interests focus on psychosocial and behavioral factors in cancer prevention and control and the effects of family, community, and socioeconomic factors affecting health outcomes, obesity, mortality, and longevity of individuals.

Taylor D. Sparks

Associate Professor and Associate Chair, Department of Materials Science and Engineering, University of Utah
Director, Materials Characterization Laboratory, University of Utah

Their research group focuses primarily on the discovery, synthesis, and characterization of new materials for energy applications such as batteries, thermoelectrics and others. They rely on big data and materials informatics as we explore new synthetic techniques, structure-property relationships, and sustainable materials that balance performance with economic factors such as cost, abundance, and availability.

James Sutherland

Professor, Chemical Engineering, University of Utah
Associate Chair, Chemical Engineering

His research interests are at the confluence of numerical analysis, engineering, and computer science, with emphasis on large-scale simulation of turbulent reacting flows and in developing algorithms and software to deploy these simulations on massively parallel computers. This includes development of domain-specific languages for solution of large systems of partial differential equations and constructing reduced-order modeling for complex reacting flows where lower-dimensional manifolds exist.

Tolga Tasdizen

Professor, Electrical and Computer Engineering, University of Utah
Faculty Member, Scientific Computing and Imaging Institute, University of Utah
Adjunct Professor, Computer Science, University of Utah

Research Summary:

Image processing and pattern recognition, specifically: geometry-based and statistics-based methods for image filtering, segmentation and feature extraction using high-order partial differential equations for image and surface reconstruction. Applying these methods to problems in biomedical imaging, particularly neural circuit reconstruction from very large-scale microscopy image datasets.

Organization and By-Laws

The UCDS is led by a director, with the assistance of associate directors and the other core members. The Associate Direct or Research organizes research-focused events like the Data Science Seminar. The Associate Director of Outreach builds relations with other researchers around campus, including through the annual Data Science Day. And the Associate Director of Student Involvement leads efforts to engage students in data science, including as liason to associated student groups. The Affiliated members represents the centers connections around campus into the many disciplines where data science reaches.

Governance Roles

Membership Plans