Our lab’s long-term goal is to understand how neural activity both produces memories and protects brain health, while using this knowledge to engineer neural activity to treat brain diseases. Our lab studies how coordinated electrical activity across many neurons represents memories of experiences, how this activity fails in animal models of Alzheimer’s disease, and how engineering neurons to produce this activity has neuroprotective effects and engages the brain’s immune system. Integrating innovative experimental and analytical methods, this research will provide unprecedented insight into how neural activity failures lead to memory impairment and will reveal novel ways to engineer neural activity to repair brain function. Using non-invasive approaches, we translate these discoveries from rodents to humans. These insights could lead to radically new ways to treat diseases that affect memory like Alzheimer’s, for which there are no effective therapies.
Prior to joining the faculty at Emory and GA Tech in Dec. 2016, Dr. Pandarinath received his bachelor’s degrees in Computer Engineering and Physics from NC State, Ph.D. in Electrical Engineering from Cornell, and was a postdoctoral fellow in Neurosurgery and Electrical Engineering at Stanford. His work has spanned systems neuroscience and brain-machine interfaces across visual and motor systems. He was the recipient of the Stanford Dean’s Fellowship and the Craig H. Neilsen Foundation Postdoctoral Fellowship in spinal cord injury research, and was a finalist for the 2015 Sammy Kuo Award in Neuroscience from the Stanford School of Medicine.
Our work centers on understanding how the brain represents information and intention, and using this knowledge to develop high-performance, robust, and practical assistive devices for people with disabilities and neurological disorders. We take a dynamical systems approach to characterizing the activity of large populations of neurons, combined with rigorous systems engineering (signal processing, machine learning, control theory, real-time system design) to advance the performance of brain-machine interfaces and neuromodulatory devices.
Jaydev P. Desai, Ph.D, is currently a Professor and BME Distinguished Faculty Fellow in the Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech. Prior to joining Georgia Tech in August 2016, he was a Professor in the Department of Mechanical Engineering at the University of Maryland, College Park (UMCP). He completed his undergraduate studies from the Indian Institute of Technology, Bombay, India, in 1993. He received his M.A. in Mathematics in 1997, M.S. and Ph.D. in Mechanical Engineering and Applied Mechanics in 1995 and 1998 respectively, all from the University of Pennsylvania. He was also a Post-Doctoral Fellow in the Division of Engineering and Applied Sciences at Harvard University. He is a recipient of several NIH R01 grants, NSF CAREER award, and was also the lead inventor on the “Outstanding Invention of 2007 in Physical Science Category” at the University of Maryland, College Park. He is also the recipient of the Ralph R. Teetor Educational Award. In 2011, he was an invited speaker at the National Academy of Sciences “Distinctive Voices” seminar series on the topic of “Robot-Assisted Neurosurgery” at the Beckman Center. He was also invited to attend the National Academy of Engineering’s 2011 U.S. Frontiers of Engineering Symposium. He has over 150 publications, is the founding Editor-in-Chief of the Journal of Medical Robotics Research, and Editor-in-Chief of the Encyclopedia of Medical Robotics (currently in preparation). His research interests are primarily in the area of image-guided surgical robotics, rehabilitation robotics, cancer diagnosis at the micro-scale, and rehabilitation robotics. He is a Fellow of the ASME and AIMBE.
Surgical robotics, haptics, cancer diagnosis at the micro-scale, rehabilitation robotics
Image-guided surgical robotics, rehabilitation robotics, cancer diagnosis at the micro-scale, and rehabilitation robotics.
Costas Arvanitis’ research investigates the therapeutic applications of ultrasound with an emphasis on brain cancer, and central nervous system disease and disorders. His research is focused on understanding the biological effects of ultrasound and acoustically induced microbubble oscillations (acoustic cavitation) and using them to study complex biological systems, such as the neurovascular network and the tumor microenvironment, with the goal of developing novel therapies for the treatment of cancer and central nervous system diseases and disorders.
Systems biology, computational modeling, redox metabolism and signal tranduction.
The Kemp Lab is focused on understanding how metabolism influences the decisions that cells make. Aging, stem cell differentiation, cancer metastasis, and inflammation rely on progressive changes in metabolism resulting in increased levels of reactive oxygen species. Collectively, the accumulation of these molecules is known as cellular oxidation, and pathological levels are referred to as oxidative stress. Our lab develops systems biology tools for investigating how cellular oxidation influences cellular fate and interpretation of cues from the extracellular environment. We are interested in the collective behavior that arises during stem cell differentiation, immune cell responses, or drug treatments from metabolic diversity in individual cells. Because of the numerous biochemical reactions involved, we develop computational models and analytical approaches to understand how complex protein network properties are influenced by redox-sensitive proteins; these proteins typically have reactive thiol groups that are post-translationally regulated in the presence of reactive oxygen species to alter activity and/or function. Experimentally, we develop novel high-throughput single cell techniques for the detection and quantification of intracellular oxidation.
Dr. Dixon's research focuses on elucidating and quantifying the molecular aspects that control lymphatic function as they respond to the dynamically changing mechanical environment they encounter in the body. Through the use of tissue-engineered model systems and animal models, our research is shedding light on key functions of lymphatic transport, and the consequence of disease on these functions. One such function is the lymphatic transport of dietary lipid from the intestine to the circulation. Recent evidence from our lab suggests that this process involves active uptake into lymphatics by the lymphatic endothelial cells. There are currently no efficacious cures for people suffering from lymphedema, and the molecular details connecting lymphedema severity with clinically observed obesity and lipid accumulation are unknown. Knowledge of these mechanisms will provide insight for planning treatment and prevention strategies for people facing lipid-lymphatic related diseases.
Intrinsic to the lymphatic system are the varying mechanical forces (i.e., stretch, fluid shear stress) that the vessels encounter as they seek to maintain interstitial fluid balance and promote crucial transport functions, such as lipid transport and immune cell trafficking. Thus, we are also interested in understanding the nature of these forces in both healthy and disease states, such as lymphedema, in order to probe the biological response of the lymphatic system to mechanical forces. The complexity of these questions requires the development of new tools and technologies in tissue engineering and imaging. In the context of exploring lymphatic physiology, students in Dr. Dixon's laboratory learn to weave together techniques in molecular and cell biology, biomechanics, imaging, computer programming, and image and signal processing to provide insight into the regulation of lymphatic physiology. Students in the lab also have the opportunity to work in an interdisciplinary environment, as we collaborate with clinicians, life scientists, and other engineers, thus preparing the student for a career in academia and basic science research, or a career in industry.
To advance and to accelerate the translation of biomedical discovery, development, and delivery through comprehensive biomedical and health informatics (a.k.a. biomedical big data analytics) for personalized and predictive health care.
Director of Biocomputing and Bioinformatics Core in Emory-Georgia Tech Cancer Nanotechnology Center, and Co-Director of Georgia Tech Center for Bio-Imaging Mass Spectrometry, 3+ Years of Industrial R&D.
Integrated Biomedical Big Data Analytics and Dynamic Systems Modeling for Prediction (e.g. Molecular Pathway, Cellular System, and Whole Body Physiological System, Healthcare Systems Dynamics Modeling).
Comprehensive Biomedical and Health Informatics (e.g. Translational Bioinformatics, Microscopic Imaging Informatics, Mobile Health Informatics) for Personalized Health and Clinical Decision Support.