2023 Data Science Day

2023 Data Science Day

Organized by: Utah Center for Data Science and the One Utah Data Science Hub


We welcome all students, staff, and faculty at the University of Utah to participate Utah Data Science Day 2023. Please register here. If you have any questions, contact us at datasci@utah.edu.


See the schedule poster for more information about our speakers.

09:00 AM - 10:00 AM   Event Registration & Breakfast
10:00 AM - 10:45 AM   Research Highlights
      - Kate Issacs
    Associate Professor - SCI Institute & Kahlert School of Computing
    Visualizing Environmental and Socioeconomic Data to Combat Health Disparities
  - Jacob Hochhalter
    Assistant Professor - Mechanical Engineering
    Scientific Machine Learning for Interpretable Material Models
  - Nina DeLacy
    Assistant Professor - Huntsman Mental Health Institute & Department of Psychiatry
    Addressing the mental health crisis: From data to information
10:45 AM - 11:30 AM   Industry Panel
      - Levi Thatcher, PhD
    Senior Director, Data Science
  - Peter McLean, PhD
    Director, Data Science
  - Jes Ford, PhD
    Senior Machine Learning Engineer
    Cash App
11:30 AM - 12:00 PM   Lunch
12:00 PM - 01:00 PM   Keynote by
      - Jeff Leek
    45 min talk + 15 Q&A
01:00 PM - 03:00 PM   Research Expo
      - Dozens of posters, demos, and information booths
      - Learn about ongoing projects, find collaborators
01:00 PM - 02:00 PM   Career Fair Set-up (encourage industry participants to view posters etc)
02:00 PM - 05:30 PM   Career Fair
      - Companies include our event sponsors: Sorenson, Recursion, BioMerieux

Keynote Talk

Jeff Leek

Speaker: Jeff Leek

Speaker Bio

Jeff is Chief Data Officer, Vice President, and J Orin Edson Foundation Chair of Biostatistics at the Fred Hutchinson Cancer Center. Previously, he was a professor of Biostatistics and Oncology at the Johns Hopkins Bloomberg School of Public Health and co-director of the Johns Hopkins Data Science Lab. His group develops statistical methods, software, data resources, and data analyses that help people make sense of massive-scale genomic and biomedical data. As the co-director of the Johns Hopkins Data Science Lab he helped to develop massive online open programs that have enrolled more than 8 million individuals and partnered with community-based non-profits to use data science education for economic and public health development. He is a Fellow of the American Statistical Association and a recipient of the Mortimer Spiegelman Award and Committee of Presidents of Statistical Societies Presidential Award.

Career Fair

Attend the career fair to meet with companies including our sponsors: Sorenson, Recursion, BioMerieux

Sponsor logos for data science day 2023


Data Science Day 2017
Data Science Day 2018
Data Science Day 2019
Datathon 2022