Background

Greeshma Agasthya (she/her/hers) is an Assistant Professor in the Nuclear & Radiological Engineering and Medical Physics Program at the George W. Woodruff School of Mechanical Engineering at Georgia Institute of Technology. She leads the Computational Medical Physics Laboratory, and her research interests are: (1) developing multiscale digital twins for personalized radiation dosimetry for imaging, therapy, and theranostics, (2) modeling and simulations to assess novel radiation protocols from cancer diagnosis to cancer treatment, and (3) developing AI frameworks to model patient trajectories for early intervention and treatment in oncology.

Previously, she was a research scientist at Oak Ridge National Laboratory in the Advanced Computing for Health Sciences section. Agasthya received her doctorate in Biomedical Engineering from Duke University and completed her postdoctoral training at Emory University's Winship Cancer Institute. She has experience in medical imaging research, modeling and simulation for radiation dosimetry, and AI and Machine learning for healthcare. Agasthya has developed and used multi-scale modeling and simulations of the human body for virtual clinical trials, radiation dosimetry, and optimization of medical imaging systems for cancer applications. She has worked on artificial intelligence (AI) for cancer surveillance, predicting disease outcomes, and clinical decision support. She has collaborated with experts in medical physics, radiology, cardiology, computer engineering, and statistics to tackle interdisciplinary challenges in medical physics and biomedical engineering. She has worked on imaging modalities including neutron imaging, x-ray radiography, computed tomography (CT), and tomosynthesis systems for cancer applications.