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.

Alexander Vlahos is an Assistant Professor in the Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech and Emory University. Alexander received his B.S. in Biochemistry from McMaster University and his Ph.D. from the University of Toronto under the supervision of Professor Michael Sefton. His Ph.D. work focused on developing an injectable bioartificial pancreas that could be delivered underneath the skin. He then transitioned to mammalian synthetic biology, where he conducted his postdoctoral work as an HFSP long-term fellow at Stanford University with Professor Xiaojing Gao.

His research integrates principles from synthetic biology, protein engineering, and tissue engineering to develop synthetic protein circuits for mammalian cellular engineering. The Vlahos lab synergizes synthetic biology and tissue engineering to create programmable gene and cell therapies for biomedical applications in regenerative medicine, cancer, and autoimmune disease. His lab has three main research themes, including 1) generating protein sensors to sense changes in internal cell states or the external microenvironment, 2) programming engineered cells to model cell-to-cell communication and elucidate the dynamics and expression of key signals that govern fibrosis and immune rejection, and 3) applying synthetic protein circuits to modulate the immune system and improve cell transplantation.

Anthony Harding is an environmental economist with research interests at the intersection of innovative technologies and climate policy. He uses economic theory and applied econometrics to analyze the extent of socioeconomic risks from climate change, how policy and technologies can moderate these risks, and what impacts, intended or otherwise, policies may have. Before returning to Georgia Tech, Harding was a postdoctoral fellow at Harvard University’s Kennedy School of Government. He earned his Ph.D. in Economics from the School of Economics and a B.S. in Mathematics and Physics from Rensselaer Polytechnic Institute.