Jeremy Buhler is a Professor of Computer Science & Engineering at Washington University in St. Louis, with secondary appointments in the Genetics Department (Division of Biological and Biomedical Sciences) and the Biology Department (College of Arts & Sciences). He joined the faculty in 2001 and focuses on advancing computational methods for analyzing large-scale biological data. Education: PhD, University of Washington, 2001 MS, University of Washington, 1998 BA, Rice University, 1996 His research bridges Cyberphysical Systems and Parallel Computing , addressing challenges in genomic, metagenomic, and proteomic analysis. He develops algorithms to accelerate searches of massive biological sequence databases, leveraging probabilistic methods and hardware accelerators like FPGAs and GPUs. Recent work includes optimizing dynamic programming for systolic arrays and deadlock-free dataflow applications. In collaboration with researchers, he has contributed to projects such as a gamma-ray astronomy mission (co-investigator, 2021). His lab explores computational infrastructure for next-generation sequencing, emphasizing scalability and efficiency. For more details, visit his lab website or Google Scholar . Jeremy advises students in computational biology and engineering, though specific advisee names are not listed here. His work aligns with interdisciplinary goals at the McKelvey School of Engineering and the broader university.
