Dr. Chris Oehmen received his B.A. in physics and mathematics from Saint Louis University in 1995. He earned M.S. and Ph.D. degrees in biomedical engineering from the University of Memphis/University of Tennessee, HSC Joint program in 1999 and 2003, respectively where he was a DOE Computational Science Graduate Fellow. He joined Pacific Northwest National Laboratory (PNNL) as a research scientist in 2003 focusing on computational biology, bio-inspired cybersecurity, high performance computing (HPC), AI/ML, and laboratory automation to support the Genesis mission. Oehmen has over 22 years of experience developing, leading, and executing research programs for a variety of sponsors. Among other activities, Oehmen led the Asymmetric Resilient Cybersecurity Initiative; ExaSGD, a DOE exascale computing project application in nonlinear optimization for power grid optimization; and OPAL FAMOUS, a multi lab effort to develop and orchestrate agentic AI workflows to drive autonomous bio experimentation. He currently also leads PNNL's Computational Biology group.
Beginning with ScalaBLAST, an open-source high performance biosequence analysis application developed by his team at PNNL, Oehmen has led efforts applying HPC and AI in multiple science and technology domains. His work leverages exascale and other leadership class computing systems, the American Scientific Computing platform, cloud systems, advanced data management infrastructure, and orchestration to create impactful agentic AI-driven workflow applications. In addition to biosequence analysis, Oehmen has led the development of tools and algorithms in diverse areas such as cybersecurity (MLSTONES, R&D 100 recipient) and power grid optimization/operation (ExaSGD), among others. He currently leads OPAL FAMOUS, a Genesis project model seedling focused on scaling the biotechnology revolution by combining HPC, AI, and laboratory automation.