2023 Data Science Day
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Date: Friday. Jan 13, 2023
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Location: Union Ballroom
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Register here
Organized by: Utah Center for Data Science and the One Utah Data Science Hub
Participation
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.
Schedule
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 |
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- 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 |
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10:45 AM - 11:30 AM | Industry Panel | |
- Levi Thatcher, PhD Senior Director, Data Science Pluralsight - Peter McLean, PhD Director, Data Science Recursion - Jes Ford, PhD Senior Machine Learning Engineer Cash App |
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11:30 AM - 12:00 PM | Lunch | |
12:00 PM - 01:00 PM | Keynote by | |
- Jeff Leek 45 min talk + 15 Q&A |
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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
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