Dr. Greeshma Agasthya

Assistant Professor

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Biography

Greeshma Agasthya is an Assistant Professor in the Nuclear and Radiological Engineering Medical Physics Program at the George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology. In her role, she leads the Computational Medical Physics Laboratory, focusing on developing multiscale digital twins for personalized radiation dosimetry, imaging, therapy, and theranostics. Her research interests include modeling simulations to assess novel radiation protocols for cancer diagnosis and treatment, as well as creating AI frameworks to model patient trajectories for early intervention in oncology. Prior to her current position, Agasthya worked as a research scientist at Oak Ridge National Laboratory in the Advanced Computing Health Sciences section. She earned her doctorate in Biomedical Engineering from Duke University and completed postdoctoral training at Emory University's Winship Cancer Institute. Her experience encompasses medical imaging research, radiation dosimetry modeling and simulation, and the application of AI and machine learning in healthcare. Agasthya has developed multi-scale modeling simulations for virtual clinical trials and has worked extensively on optimization in medical imaging systems for cancer applications, collaborating with experts in medical physics, radiology, cardiology, computer engineering, and statistics to address interdisciplinary challenges in the field of biomedical engineering and medical physics.

Research Interests

Requirements for Georgia Institute of Technology

Doctorate Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Listening
Required:19
Reading
Required:19
Writing
Required:19
Speaking
Required:19
Total
Required:100
IELTS
Listening
Required:6.5
Reading
Required:6.5
Writing
Required:5.5
Speaking
Required:6.5
Overall
Required:7.5
Prerequisites
Undergraduate degree in computer science or related field
Application Checklist
  • Online application
  • Official transcripts
  • Three letters of recommendation
  • Statement of Purpose
Specialization Notes

Department of Computer Science: GRE scores are optional for Fall 2026.