Dr. Stanislav Emelianov is a Joseph M. Pettit Endowed Chair, Georgia Research Alliance Eminent Scholar, and Professor of Electrical & Computer Engineering and Biomedical Engineering at the Georgia Institute of Technology. He is also appointed at the Emory University School of Medicine, where he is affiliated with Winship Cancer Institute, Department of Radiology, and other clinical units. Furthermore, Dr. Emelianov is Director of the Ultrasound Imaging and Therapeutics Research Laboratory at the Georgia Institute of Technology focused on the translation of diagnostic imaging & therapeutic instrumentation, and nanobiotechnology for clinical applications. 

Throughout his career, Dr. Emelianov has been devoted to the development of advanced imaging methods capable of detecting and diagnosing cancer and other pathologies, assisting treatment planning, and enhancing image-guided therapy and monitoring of the treatment outcome. He is specifically interested in intelligent biomedical imaging and sensing ranging from molecular imaging to small animal imaging to clinical applications. Furthermore, Dr. Emelianov develops approaches for image-guided molecular therapy and therapeutic applications of ultrasound and electromagnetic energy. Finally, nanobiotechnology plays a critical role in his research. In the course of his work, Dr. Emelianov has pioneered several ultrasound-based imaging techniques, including shear wave elasticity imaging and molecular photoacoustic imaging. Overall, projects in Dr. Emelianov's laboratory, which focuses on cancer and other diseases, range from molecular imaging to functional imaging and tissue differentiation, from drug delivery and release to image-guided surgery and intervention.

Metalloproteins constitute one of the largest classes of proteins in the proteome and are involved in virtually every metabolic and signaling pathway of consequence to human health and disease. Broadly speaking, the Reddi laboratory is interested in determining the cellular, molecular, and chemical mechanisms by which metalloproteins are activated by cells, and once activated, how they communicate with other biomolecules to promote normal metabolism and physiology, placing an emphasis on systems relevant to cancer, neurodegenerative disorders, and infectious diseases. Current projects in the lab are focused on elucidating heme trafficking pathways and the role of Cu/Zn Superoxide Dismutase (SOD1) in redox signaling. Prospective students will get broad training in disciplines that span modern biochemistry, bioinorganic chemistry, biophysics, chemical biology, molecular genetics, and cell biology.      

Professor Garg received a Bachelors in Engineering in Biotechnology from University Institute of Technology and Masters in Science from Indian Institute of Technology, Delhi. During her masters, she spent several months in Berlin, Germany while conducting research with Professor Marion Ansorge Schumacher at Technical University, Berlin as an DAAD Fellow. Garg obtained her Ph.D. in 2013 from the University of Illinois, Urbana Champaign under the direction of Professor Wilfred A. van der Donk and Professor Satish Nair. She then joined Professor Pieter C Dorrestein's research laboratory as a postdoctoral research associate at the University of California, San Diego. Garg joined the faculty at GeorgiaTech in 2017.

Jeong Woo Lee is a member of the Parker H. Petit Institute for Bioengineering and Bioscience.

Roman Mezencev is an adjunct associate professor in the School of Biological Sciences at Georgia Tech and a scientist at the U.S. EPA’s National Center of Public Health and Environmental Assessment. His areas of research interest include cancer biology, pharmacology, toxicogenomics, protein misfolding diseases, and public health. In cancer biology, his main research focuses on using omics data to identify new cancer subtypes through molecular profiling, which can help enhance their diagnosis and treatment. Additionally, Mezencev explores the use of omics data to predict and understand chemically-induced cancer and other adverse outcomes to protect public health. He is also investigating the intriguing epidemiological associations and mechanistic connections between cancer and Alzheimer’s disease (AD), as well as other protein-misfolding diseases. By understanding these associations, we can identify shared risk factors and molecular mechanisms that can lead to the development of new anti-cancer and anti-AD drugs and enhance our understanding of these complex diseases.
 

Josiah Hester works broadly in computer engineering, with a special focus on wearable devices, edge computing, and cyber-physical systems. His Ph.D. work focused on energy harvesting and battery-free devices that failed intermittentently. He now focuses on sustainable approaches to computing, via designing health wearables, interactive devices, and large-scale sensing for conservation. 
   
His work in health is focused on increasing accessibility and lowering the burden of getting preventive and acute healthcare. In both situations, he designs low-burden, high-fidelity wearable devices that monitor aspects of physiology and behavior, and use machine learning techniques to suggest or deliver adaptive and in-situ interventions ranging from pharmacological to behavioral. 
   
His work is supported by multiple grants from the NSF, NIH, and DARPA. He was named a Sloan Fellow in Computer Science and won his NSF CAREER in 2022. He was named one of Popular Science's Brilliant Ten, won the American Indian Science and Engineering Society Most Promising Scientist/Engineer Award, and the 3M Non-tenured Faculty Award in 2021. His work has been featured in the Wall Street Journal, Scientific American, BBC, Popular Science, Communications of the ACM, and the Guinness Book of World Records, among many others.

King Jordan is Professor in the School of Biological Sciences and Director of the Bioinformatics Graduate Program at the Georgia Institute of Technology. He has a computational laboratory and his group works on a wide variety of research and development projects related to: (1) human clinical & population genomics, (2) computational genomics for public health, and (3) computational approaches to functional genomics. He is particularly interested in the relationship between human genetic ancestry and health. His lab is also actively engaged in capacity building efforts in genomics and bioinformatics in Latin America. 

Grover’s research activities in process systems engineering focus on understanding macromolecular organization and the emergence of biological function. Discrete atoms and molecules interact to form macromolecules and even larger mesoscale assemblies, ultimately yielding macroscopic structures and properties. A quantitative relationship between the nanoscale discrete interactions and the macroscale properties is required to design, optimize, and control such systems; yet in many applications, predictive models do not exist or are computationally intractable.

The Grover group is dedicated to the development of tractable and practical approaches for the engineering of macroscale behavior via explicit consideration of molecular and atomic scale interactions. We focus on applications involving the kinetics of self-assembly, specifically those in which methods from non-equilibrium statistical mechanics do not provide closed form solutions. General approaches employed include stochastic modeling, model reduction, machine learning, experimental design, robust parameter design, and estimation.