Dr. Abhinav K. Jha is an assistant professor with joint appointments in biomedical engineering and radiology and courtesy appointment in Electrical and Systems Engineering at Washington University. Previously, he was a faculty at Johns Hopkins University. Professor Jha obtained his PhD from the College of Optical Sciences, University of Arizona, where he was the valedictorian of his graduating batch. His research is in the design, evaluation, and translation of computational medical imaging methods for optimized performance in diagnostic and therapeutic tasks using quantitative measures of task performance.

He is a recipient of several NIH and NSF awards including NSF CAREER, NIBIB Trailblazer, and two NIH R01 awards on no-gold-standard evaluation and on quantitative SPECT. His research and teaching have also been recognized through several other awards such as the Young Investigator Symposium Award of Distinction for Translational Sciences at the ECOG-ACRIN meeting, Michael B. Merickel Best Student Paper award at SPIE Medical Imaging, Therapy Center for Excellence Young Investigator award, Imaging Innovator of the week of the Academy for Radiology and Biomedical Imaging, 30 Early Career Professionals to Watch of the Society of Nuclear Medicine and Molecular Imaging, and the Outstanding Teaching Associate Award. His research has been highlighted on several media outlets including NIBIB Science Highlights, Radiology Business, Aunt Minnie, HealthImaging, Parkinson’s News Today and Applied Radiology and Imaging Wire.  He is on the Board of Directors of the Physics, Instrumentation and Data Sciences Council of the Society of Nuclear Medicine and Molecular Imaging, led the Evaluation Team of the Society of Nuclear Medicine and Molecular Imaging AI task force leading to a state-of-the-art manuscript providing guidelines on best practices for evaluating AI algorithms (RELAINCE guidelines), and is a senior member of the IEEE. He has given invited talks on his research at various research labs such as at the Food and Drug Administration (FDA), University of California San Francisco, University of Washington, Autonomous University of Barcelona, Spain, and Indian Institute of Science.