EducationPhD, University of Arizona, 2013
Develops computational-imaging methods for diagnosing and treating diseases
Abhinav K. Jha's research is in the design of medical imaging systems and algorithms for optimized performance in clinical tasks using quantitative measures of task performance. His research includes devising novel methods for objective assessment of image quality, image reconstruction, parameter quantification, image analysis, using parallel computing hardware for medical imaging, and clinical translation. A current focus is on improving quantitative imaging, with applications such as in improving the reliability of imaging biomarkers for monitoring cancer-treatment response and measuring severity of Parkinson’s disease and in improving dosimetry for cancer therapies.
Professor Jha joined Washington University in St. Louis as an assistant professor of biomedical engineering and of radiology in April 2018. Previously he was a faculty at the Department of Radiology, Johns Hopkins University School of Medicine. Professor Jha obtained his PhD from the College of Optical Sciences, University of Arizona, where he was the valedictorian of his graduating batch. He is a recipient of the NIBIB Trailblazer Award. His research and teaching has also been recognized through several other awards such as the Young Investigator Symposium Award of Distinction for Translational Sciences at the ECOG-ACRIN meeting, the Therapy Center for Excellence Young Investigator award at the SNMMI Annual meeting, selection to the Council of Early Career Investigators of the Academy for Radiology and Biomedical Imaging, and the Rolyn Optics Outstanding Teaching Associate Award.