Julia Kubanek serves as Georgia Tech’s Vice President for Interdisciplinary Research and is a professor in the School of Biological Sciences and the School of Chemistry and Biochemistry. In this role, she oversees and supports interdisciplinary activities at Georgia Tech including the Interdisciplinary Research Institutes (IRIs); the Pediatric Technology Center (PTC), the Novelis Innovation Hub; the Center for Advanced Brain Imaging (CABI); and the Global Center for Medical Innovation (GCMI). She also partners across the institute on developing and advancing new research initiatives based on student and faculty interests, expertise, and societal need.

Kubanek has held several previous leadership roles at Georgia Tech, including Associate Dean for Research in the College of Sciences and Associate Chair in the School of Biological Sciences. She joined the faculty at Georgia Tech in 2001. Her areas of research interest include chemical signaling among organisms (especially in aquatic systems), natural products chemistry, metabolomics, chemical biology, and drug discovery. She has authored approximately 100 research articles on marine plankton and coral reef chemical ecology, and on the discovery, mechanism of action, and biosynthesis of marine natural products. She was awarded the NSF CAREER Award in 2002, the Presidential Early Career Award for Scientists and Engineers (PECASE) in 2004, and was elected Fellow of the American Association for the Advancement of Science (AAAS) in 2012. In 2016, she served as chair of the Gordon Research Conference in Marine Natural Products; since 2016, she has chaired the Scientific Advisory Board of the Max Planck Institute for Chemical Ecology. Kubanek received her B.Sc. in Chemistry from Queen’s University, Canada, in 1991 and her Ph.D. in at the University of British Columbia in 1998, and performed postdoctoral research at the University of California – San Diego and the University of North Carolina at Wilmington.

Tushar Krishna is an Associate Professor in the School of Electrical and Computer Engineering at Georgia Tech. He also holds the ON Semiconductor Junior Professorship. He has a Ph.D. in Electrical Engineering and Computer Science from MIT (2014), a M.S.E in Electrical Engineering from Princeton University (2009), and a B.Tech in Electrical Engineering from the Indian Institute of Technology (IIT) Delhi (2007). Before joining Georgia Tech in 2015, Krishna spent a year as a researcher at the VSSAD group at Intel, Massachusetts.

Krishna’s research spans computer architecture, interconnection networks, networks-on-chip (NoC) and deep learning accelerators – with a focus on optimizing data movement in modern computing systems. Three of his papers have been selected for IEEE Micro’s Top Picks from Computer Architecture, one more received an honorable mention, and three have won best paper awards. He received the National Science Foundation (NSF) CRII award in 2018, a Google Faculty Award in 2019, and a Facebook Faculty Award in 2019 and 2020.

I am an Assistant Professor at the School of Interactive Computing in the College of Computing. I am also affiliated with the Georgia Tech Research Institute and serve as an Associate Director of ML@GT which is the machine learning center recently created at Georgia Tech. Previously I was a Research Scientist at SRI International Sarnoff in Princeton, and before that received my Ph.D. in 2010 with Professor Ron Arkin as my advisor. I lead the RobotIcs Perception and Learning (RIPL) lab. My areas of research specifically focus on the intersection of learning methods for sensor processing and robotics, developing novel machine learning algorithms and formulations towards solving some of the more difficult perception problems in these areas. I am especially interested in moving beyond supervised learning (un/semi/self-supervised and continual/lifelong learning) as well as distributed perception (multi-modal fusion, learning to incorporate information across a group of robots, etc.).

Dr. Hyesoon Kim received her Ph.D. degree in electrical and computer engineering from the University of Texas at Austin. Her research interests include high-performance energy-efficient computer architectures, programmer-compiler-architecture interaction, low-power high-performance embedded processors, and compiler and hardware support for dynamic optimizations, virtual machines, and binary instrumentation.

Melissa Lambeth Kemp received her B.S. in Nuclear Engineering from MIT and her Ph.D. in Bioengineering from University of Washington. Dr. Kemp joined the faculty at Georgia Tech in 2006 after completing postdoctoral training at MIT. Her expertise is in computational modeling of metabolism and signal transduction, as well as developing statistical modeling tools to examine network relationships in high-dimension datasets. One major aspect of her research program linking ROS – the byproducts of aerobic metabolism – to the fundamental way that cells interpret instructions from their environment, their neighbors, and their own genetic blueprint. Specific applications of her diverse work include systems modeling of transient phosphatase oxidation of kinase cascades, patient-specific differences in cytotoxicity to redox-cycled chemotherapeutics and radiation, and the coordination of oxidative metabolism with epithelial-to-mesenchymal transition. Her research program also includes a component of developing high-throughput screening methods for assaying cue-signal-response relationships in cells and analytical tools for single cell gene expression. 

Dr. Kemp currently serves as the Research Director of the multi-site NSF Engineering Research Center “Cell Manufacturing Technologies”. In her former role as Associate Director of the NSF Science and Technology Center “Emergent Behavior of Integrated Cellular Systems”, she spearheaded the multi-site center’s computational activities by developing agent-based models of context-dependent cellular decisions to generate new hypotheses of intercellular communication in pluripotent stem cell differentiation and emergent patterning; this work continues currently in quantifying organizational principles and spatial relationships in iPSC-derived tissues from multi-omics data. Dr. Kemp’s career honors include a Whitaker Graduate Fellowship, Merck/CSBi postdoctoral fellowship, Georgia Cancer Coalition Distinguished Scholar, NIH New Innovator Award, and the CSB2 Prize for Innovative Measurement Methods from the Council for Systems Biology in Boston.

Peter Kasson is an international leader in the study of biological membrane structure, dynamics, and fusion, with particular application to how viruses gain entry to cells. His group performs both high-level experimental and computational work – a powerful combination that is critical to advancing our understanding of this important problem. His publications describe inventive approaches to the measurement of viral fusion rates and characterization of fusion mechanisms, and to the modeling of large-scale biomolecular and lipid assemblies. He has applied these insights to the prediction of pandemic outbreaks and drug resistance, with particular attention to Zika, SARS-CoV-2, and influenza pathogens in recent years. See https://kassonlab.org/ for more information.

Surya Kalidindi is a Regents Professor, and Rae S. and Frank H. Neely Chair Professor in the Woodruff School of Mechanical Engineering at Georgia Institute of Technology, Georgia, USA with joint appointments in the School of Materials Science and Engineering as well as the School of Computational Science and Engineering. Surya earned a Ph.D. in Mechanical Engineering from Massachusetts Institute of Technology in 1992, and joined the Department of Materials Science and Engineering at Drexel University as an Assistant Professor. After twenty years at Drexel University, Surya moved into his current position at Georgia Tech. Surya’s research efforts have made seminal contributions to the fields of crystal plasticity, microstructure design, and materials informatics. Surya has been elected a Fellow of ASM International, TMS, and ASME. In 2016, he and his group members have been awarded the top prize as well as one of the runner-up prizes in the national Materials Science and Engineering Data Challenge sponsored by the Air Force Research Lab in partnership with the National Institute of Standards and Technology and the U.S. National Science Foundation. He has also been awarded the Alexander von Humboldt Research Award, the Vannever Bush Faculty Fellow, the Government of India’s Vajra Faculty Award, and the Khan International Award.

Roshan Vengazhiyil Joseph is a A. Russell Chandler III Chair and Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech.

Dr. Joseph's research interests are in the broad areas of applied and computational statistics. A major focus of his research is in developing novel data analytic methods for solving complex engineering problems. He has several years of consulting experience in solving quality-related problems in industries.

Dr. Joseph's honors include Distinguished Dissertation Award from the University of Michigan in 2003, CAREER Award from National Science Foundation in 2005, Jack Youden Prize from ASQ in 2005, Coca-Cola Junior Chair Professorship from ISYE in 2008, Best Paper Award from IIE Transactions in 2009, Franz Edelman Laureate from INFORMS in 2017, Statistics in Physical & Engineering Sciences Award from ASA in 2019, SPAIG Award from the ASA in 2020, and Lloyd S. Nelson Award from ASQ in 2021. He is a Fellow of ASA (elected in 2012) and ASQ (elected in 2020). Currently he is serving as the Editor of Technometrics (2020-2022).

Dr. Joseph received a Ph.D. degree in Statistics from the University of Michigan, Ann Arbor in 2002 and holds an M.Tech. degree in Quality, Reliability, and Operations Research and a B.Tech. degree in Production Engineering and Management. 

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.