Thomas R. Ioerger

Thomas R. Ioerger is a Professor of Computer Science & Engineering at Texas A&M University, affiliated with the Department of Computer Science & Engineering within the College of Engineering. He holds the title of Faculty Fellow at Texas A&M Engineering Experiment Station (TEES) (2004-2005) and has received awards including the Graduate Teaching Excellence Award (2001) and an NSF Graduate Fellowship (1990-1993).

Education:

• Ph.D., Computer Science, University of Illinois at Urbana-Champaign (1996)
• M.S., Computer Science, University of Illinois at Urbana-Champaign (1992)
• B.S., Molecular and Cell Biology, Pennsylvania State University (1989)

Research Interests: His work bridges computational science and microbiology, with focus areas including artificial intelligence, machine learning, and bioinformatics. He specializes in computational methods for analyzing bacterial genomes, particularly Mycobacterium tuberculosis and related pathogens. Key projects involve transposon sequencing (Tn-Seq) to identify essential genes, drug resistance mechanisms, and bacterial pathogenesis.

Publications Trends: Recent work emphasizes genetic essentiality analysis, drug-target discovery, and systems biology approaches to understand mycobacterial physiology. Major contributions include tools like TRANSIT for Tn-Seq data analysis and studies on phase variation mechanisms in M. tuberculosis.

Awards & Grants: Recognized for both research and teaching excellence, Dr. Ioerger has led multi-institutional projects funded by NIH, NSF, and global health initiatives. His lab collaborates with microbiologists and computational biologists to advance tuberculosis drug discovery and bacterial systems biology.

Labs/Teams: Directs computational biology efforts at Texas A&M, integrating artificial intelligence with microbiological data to solve challenges in infectious disease research. Active in collaborative networks like the Tuberculosis Research Network (TRIAD).