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.
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.
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.
Development of novel polymeric biomaterials, regeneration of tendon/ligament, protein delivery for orthopaedic tissue engineering.
The goal of our laboratory is to design polymeric biomaterials for specific orthopaedic applications, including regeneration of tendon/ligament, cartilage and bone. These synthetic and naturally-derived biomaterials are used in conjunction with other biochemical and mechanical stimuli to promote priming of stem cells to express a particular phenotype, as well as deliver biomolecules to promote healing of tissues that have degenerated due to chronic conditions, such as osteoarthritis or overuse injuries.
Cellular mechanics of hematologic processes and disease, microfluidics, microfabrication, BioMEMs, point-of-care diagnostics, pediatric medicine, hematology, oncology.
Our interdisciplinary laboratory, comprising clinicians, engineers, and biologists, is dedicated to applying and developing micro/nanotechnologies to study, diagnose, and treat blood disorders, cancer, and childhood diseases. This unique "basement to bench to bedside" approach to biomedical research is enabled by our lab’s dual locations at the Emory University School of Medicine and the Georgia Institute of Technology and our affiliations with the Children’s Healthcare of Atlanta hospitals.
Optical microscopy and in vivo imaging, RNA virus pathogenesis, HIV/SIV and hRSV, and detection, RNA regulation, therapeutics and vaccines.
Research in the Santangelo lab is primarily focused on three areas, native RNA regulation, RNA virus pathogenesis, and RNA therapeutics and vaccines, where the application and development of imaging technology is applied to all three areas. To address RNA regulation, localization and dynamics in the cellular milieu, we have developed single molecule sensitive approaches for imaging native RNAs and RNA dynamics in live cells, as well as the first assay to detect native RNA-protein interactions in situ. To date, the results of these methods have been applied to the cell biology of human respiratory syncytial virus infections and RNA regulation during tumorigenesis. These methods are also being used to interrogate and develop RNA-based therapeutics and vaccines. In addition we have been developing whole-body, PET/CT imaging tools for interrogating SIV infections within the macaque model. The purpose of this tool is to answer fundamental questions regarding the location of residual virus during treatment, in the hope of learning vital information that could be applied to approaches seeking to “cure” SIV or HIV.
It is our vision that one day mathematics and computation will be capable of reliably predicting, manipulating and optimizing biomedical systems for the advancement of medicine, drug development, biotechnology and productive and sustainable stewardship of the environment.
Pursuing this vision, the goal of our lab is to understand small biological systems in great detail. We work toward this goal by performing studies that target the fine-tuned synergism between genes, proteins and metabolites, and investigate the resultant, usually very effective functioning of healthy cells and organisms in comparison to those that are mutated or diseased. Milestones along the way are insights into the rationale for the intricate design and operation principles that govern biological systems.
The work in our lab is strictly mathematical and computational, but we collaborate with several superb experimental groups that provide us with data and appreciate our modeling efforts as tools for explanation and hypothesis generation.