MCBIOS 2025
Data-Driven Discovery: Harnessing the power of AI to transform health
The 21st Annual Meeting of the MidSouth Computational Biology and Bioinformatics Society
University of Utah
March 27-29, 2025
Registration Deadline
March 17th, 2025
Conference Poster
Conference Day Logistics
The conference will take place at the Cleone Peterson Eccles Alumni House. Directions, maps, and parking information can be found here and below. Parking is free on Saturday. We encourage you to take ride share to the conference!
Scan or click the QR Code to begin pinned navigation to The University of Utah Alumni House via Google Maps.
Keynote Speakers
Xihong Lin, Ph.D.
Professor of Biostatistics
Coordinating Director - Program in Quantitative Genomics
Professor of Statistics
Harvard T.H. Chan School of Public Health
Berton Earnshaw, Ph.D.
AI Founding Fellow
Recursion Pharmaceuticals
Jill S. Barnholtz-Sloan, Ph.D.
Acting Director - Center for Biomedical Informatics & Information Technology
Associate Director - Informatics and Data Science
TDRP Senior Investigator - NCI Division of Cancer Epidemiology and Genetics
National Cancer Institute - Center for Biomedical Informatics & Information Technology
Jingyi Jessica Li, Ph.D.
Professor of Biostatistics
Fielding School of Public Health - University of California, Los Angeles
Manish Parashar, Ph.D.
Presidential Professor
Chair in Computational Science and Engineering - Scientific Computing & Imaging Institute
Founding Chair - IEEE Community on High-Performance Computing
School of Computing - University of Utah
Tutorial Speakers
Rebecca Barter, Ph.D.
Research Assistant Professor
Topic: Using AI to Code
Division of Epidemiology, Department of Internal Medicine, University of Utah
Devin Lange, Ph.D.
Research Fellow
Topic: Interactive Visualization of Complex Data
Biomedical Informatics Harvard Medical School
Scientific Sessions
During the conference, several scientific sessions will be available over broad topics in Genomics from use of Artificial Intelligence in the field to statistical analyses.
| # | Session Chair(s) | Topic |
|---|---|---|
| 1 | Hao Chen, Ph.D. - University of Illinois Chicago Wei Chen, Ph.D. - University of Pittsburgh | AI methods and applications in single cell spatial omics |
| 2 | Inimary Toby Ogundeji, PhD- University of Dallas | AI in Computational Sciences: Shaping the Future of Research, Education, and Biomolecular Discovery |
| 3 | Elizabeth A. Worthey, Ph.D. - University of Alabama at Birmingham | Navigating knowledge: Leveraging LLMs for patient health |
| 4 | Timothy Shaw, Ph.D. - Moffitt Cancer Center Riyue Bao, Ph.D. - University of Pittsburgh, UPMC Hillman Cancer Center | Leveraging AI to reconcile barriers in IO Research |
| 5 | Jun Ding, Ph.D. - National Institute of Aging/NIH Xiaowei Zhan, Ph.D. - University Texas South Western | AI meets genetics and genomics |
| 6 | Zongliang Yue, Ph.D. - Auburn University | From Omics to Network Pharmacology and Systems Medicine |
| 7 | Rakesh Kaundal, Ph.D. - Utah State University | Harnessing Integrative Multi-Omics and AI to Decipher Host-Pathogen Interactions |
| 8 | Yuehua Cui, Ph.D. - Michigan State University | Advancing Statistical and Machine Learning Models for Single-Cell and Spatial Omics |
| 9 | Zhaohui “Steve” Qin, Ph.D. - Emory University Chang Su, Ph.D - Emory University | Advances in statistical methods applied to genomics and biomedicine |
| 10 | Xuefeng Wang, Ph.D. - Moffitt Cancer Center | Emerging methods in single-cell analysis and AI-driven biomarker discovery |
| 11 | Paul Stewart, Ph.D. - University of Utah Ann Chen, Ph.D. - University of Utah | Computational Mass Spec |
| 12 | Yan Sun, Ph.D. - Utah State University | Recent Advances in Biostatistical Research |
| 13 | Kathy Qiao, Ph.D. - University of Utah | Innovative Approaches to Orchestrating the Microbial Symphony |
| 14 | Aik Choon Tan, Ph.D. - University of Utah | Oncological Data Science |
| 15 | Qi Zheng, Ph.D. - University of Louisville | Statistical analysis for integrated biomedical data |
| 16 | Aik Choon Tan, Ph.D. - University of Utah Samuel Payne, Ph.D. - Brigham Young University | Frontiers in Computational Biology and Bioinformatics |
| 17 | Chi Wang, Ph.D. - University of Kentucky | Recent advances in statistical and computational methods for omics data |
| 18 | Maggie Cheang, Ph.D. - The Institute of Cancer Research, London. | AI in Clinical Trials |
Sponsors
