Seth A. Schobel

Seth A. Schobel, PhD, serves as Associate Professor and Scientific Director of the SC2i (Surgical Critical Care and Injury Innovation) within the Department of Surgery at Uniformed Services University of the Health Sciences (USUHS) School of Medicine. His academic appointment reflects his dual expertise in computational biology and clinical trauma research.

Dr. Schobel's educational background includes a PhD in Bioinformatics, Computational Biology and Genomics from the University of Maryland (2015), an MS in Bioinformatics from Johns Hopkins University (2009), and dual BS/BA degrees from the University of Maryland (2001). His research program bridges computational science with clinical military medicine, focusing on host-pathogen interactions, wound healing mechanisms, and inflammatory responses in combat casualties.

His laboratory develops cloud-based computing environments for big data analysis of wound healing trajectories, with particular emphasis on machine learning applications for clinical decision support. Current projects analyze microbial bioburden in battlefield injuries, cytokine networks in trauma patients, and predictive modeling for complications like wound infections and acute kidney injury. The SC2i team under his direction integrates multi-omics data with clinical parameters to create operational tools for battlefield medicine.

Dr. Schobel's publication record demonstrates consistent translational research output, with recent work focusing on microbial colonization effects on wound healing, machine learning models for infection prediction, and neuroinflammatory consequences of systemic trauma. His collaborative approach involves partnerships across military medical centers and academic institutions.

As Scientific Director of SC2i, he leads a multidisciplinary team developing clinical decision support tools that translate complex biomarker data into actionable clinical insights for military surgeons. His work exemplifies precision medicine applications in austere combat environments, with emphasis on real-time data integration for improved casualty outcomes.