Karthik Menon is an Assistant Professor with a joint appointment in the Woodruff School and the Coulter Department of Biomedical Engineering. Menon graduated with a Ph.D. in Mechanical Engineering from Johns Hopkins University in 2021, where his doctoral work focused on the flow physics of fluid-structure interactions and vortex-dominated flows. Before joining Georgia Tech, he was a postdoctoral scholar in the Department of Pediatrics and the Institute for Computational and Mathematical Engineering at Stanford University. At Stanford, he worked on computational methods for accurate patient-specific cardio­vascular blood flow simulations and uncertainty quantification. Menon’s research focuses on improving the clinical management of cardiovascular disease by developing personalized computational simulation techniques for blood flow and biomechanics informed by patient-specific clinical measurements and imaging. In collaboration with cardiologists and surgeons, this research combines high-fidelity and reduced-order computational modeling with clinical data and expertise to develop accurate and predictive cardiovascular digital twins that aim to improve clinical outcomes, plan personalized and optimal treatments, and predict disease progression.

Dr. Pamidighantam is associate director of the ARTISAN center under the Institute for Data Engineering and Science at the Georgia Institute of Technology. Dr. Pamidighantam had been a senior research scientist at Indiana University, Cyberinfrastructure Integration Research Center and NCSA at the University of Illinois at Urbana-Champaign supporting computational chemistry and science gateways development in support of molecular sciences faculty.

Nick Housley is an Assistant Professor in the School of Biological Sciences at Georgia Tech and a Member of Winship Cancer Institute of Emory University. He earned a BS in Kinesiology from The University of Georgia, a DPT from Georgia State University where he focused on clinical neuroplasticity, a Ph.D. in Applied Physiology from Georgia Institute of Technology and completed his postdoctoral fellowship in Cancer Neurobiology.

Nick started his independent career on the faculty of Georgia Institute of Technology in 2025. The Housley Lab studies how the nervous system, cancer, and its treatment interact in mammalian systems through two overarching themes. First, they perform foundational studies on the role the nervous system plays in the initiation and progression of cancer. Second, they perform multi-scale preclinical studies to define the determinants of neurologic consequences of cancer treatment. In parallel, Housley lead clinical efforts to translate basic science findings to clinical practice.

The Housley lab also develops nanostructures for multimodal applications in solid tumor cancers including drug delivery and cancer detection. A major area of focus involves the use of their nanohydrogel platform to precisely delivery therapeutic payloads to primary and metastatic cancer sites and translate their technology from the laboratory into human clinical studies. My colleagues and I also investigate the interactions of nanostructures and biological environments that enable solid tumor targeting.

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.