Abhinav Jha

Abhinav Jha is an Assistant Professor with joint appointments in Biomedical Engineering and Radiology at Washington University in St. Louis, and holds a courtesy appointment in the Department of Electrical & Systems Engineering. He leads research in computational medical imaging methods, focusing on integrating artificial intelligence (AI) and task-based assessment to enhance diagnostic and therapeutic outcomes. His work emphasizes reducing patient radiation exposure, accelerating scan times, and automating image analysis for clinical decision-making.

Education: PhD in Optical Sciences from the University of Arizona (2013), where he was valedictorian of his graduating class.

Research Interests: Development of AI-driven image reconstruction/enhancement, low-count quantitative imaging for cancer treatment personalization, and ethical deployment of AI in healthcare. His group also explores statistical signal processing for maximizing task-specific information extraction.

Awards & Recognition:

• NSF CAREER Award
• NIBIB Trailblazer Award
• Multiple NIH R01 grants
• Academy for Radiology & Biomedical Imaging Research Distinguished Investigators Award (2024)

Grants & Lab: Recipient of interdisciplinary funding (e.g., AI for Health seed grants) and leads a lab advancing translational imaging science. Active in professional service as a Senior Member of IEEE and Board Member of the SNMMI's Physics, Instrumentation, and Data Sciences Council.