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 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.

Direction QR code

Keynote Speakers

Xihong Lin, Ph.D. from Harvard T.H. Chan School of Public Health

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. from Recursion Pharmaceuticals

Berton Earnshaw, Ph.D.

AI Founding Fellow

Recursion Pharmaceuticals

Jill S. Barnholtz-Sloan, Ph.D. from National Cancer Institute - Center for Biomedical Informatics & Information Technology

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. from Fielding School of Public Health - University of California, Los Angeles

Jingyi Jessica Li, Ph.D.

Professor of Biostatistics

Fielding School of Public Health - University of California, Los Angeles

Manish Parashar, Ph.D. from School of Computing - University of Utah

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. from Division of Epidemiology, Department of Internal Medicine, University of Utah

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. from Biomedical Informatics Harvard Medical School

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.

18 sessions
#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

Sponsorship Logo
Sponsorship Logo
Sponsorship Logo
Sponsorship Logo
Sponsorship Logo
Sponsorship Logo
Sponsorship Logo