Joseph Lachance

Joseph Lachance
joseph.lachance@biology.gatech.edu

Joe Lachance is an Assistant Professor in the School of Biological Sciences at Georgia Institute of Technology and a member of the Cell and Molecular Biology Research Program at Winship Cancer Institute.

Lachance received his Ph.D. in Genetics from Stony Brook University in Stony Brook, New York. He conducted his postdoctoral studies as a NIH Kirschstein postdoctoral fellow at the University of Pennsylvania.

Lachance's research is in the areas of human evolutionary genomics, population genetics, and health disparities. His lab integrates large genome-scale datasets with evolutionary theory and computer simulations. They have found evidence of ancient introgression in Africa, inferred that the leading edge of the out-of-Africa migration involved an excess of males, discovered that genetic risks of cancer have decreased over evolutionary time, and identified novel targets of positive selection.

Associate Professor
Phone
404-894-0794
Office
EBB 2103
IRI and Role
Bioengineering and Bioscience > Faculty
Data Engineering and Science > Faculty
Data Engineering and Science
Bioengineering and Bioscience
University, College, and School/Department
Georgia Institute of Technology > College of Sciences > School of Biological Sciences

Debra Lam

Debra Lam
debra.lam@gatech.edu

Debra Lam is the Founding Director of the Partnership for Inclusive Innovation, a statewide public-private partnership committed to investing in innovative solutions for shared economic prosperity. She continues to lead smart communities and urban innovation work at Georgia Tech. Prior to this, she served as Pittsburgh’s inaugural Chief of Innovation & Performance where she oversaw all technology, sustainability, performance, and innovation functions of city government. Before that, she was a management consultant at a global engineering and design firm, Arup. She has received various awards, including being named one of the top 100 most influential people in digital government by Apolitcal.

She has worked and lived in the United Kingdom, China, Taiwan, and Hong Kong. A graduate of Georgetown University and the University of California, Berkeley, Debra serves on the board of the Community Foundation of Greater Atlanta and was most recently appointed by the U.S Department of Commerce to the Internet of Things Advisory Board.

Founding Director, Partnership for Inclusive Innovation
Principal Researcher
Phone
(404) 894-4728
Additional Research
System Design & Optimization
IRI and Role
Data Engineering and Science > Faculty
People and Technology > Affiliated Faculty
Energy > Fellow
Energy > Research Community
Data Engineering and Science
People and Technology
Energy
University, College, and School/Department
Georgia Institute of Technology

Michael Lacey

Michael Lacey
lacey@math.gatech.edu

Michael Thoreau Lacey is an American mathematician. Lacey received his Ph.D. from the University of Illinois at Urbana-Champaign in 1987, under the direction of Walter Philipp. His thesis was in the area of probability in Banach spaces, and solved a problem related to the law of the iterated logarithm for empirical characteristic functions. In the intervening years, his work has touched on the areas of probability, ergodic theory, and harmonic analysis. 

His first postdoctoral positions were at the Louisiana State University, and the University of North Carolina at Chapel Hill. While at UNC, Lacey and Walter Philipp gave their proof of the almost sure central limit theorem. 

He held a position at Indiana University from 1989 to 1996. While there, he received a National Science Foundation Postdoctoral Fellowship, and during the tenure of this fellowship he began a study of the bilinear Hilbert transform. This transform was at the time the subject of a conjecture by Alberto Calderón that Lacey and Christoph Thiele solved in 1996, for which they were awarded the Salem Prize. Since 1996, he has been a Professor of Mathematics at the Georgia Institute of Technology. In 2004, he received a Guggenheim Fellowship for joint work with Xiaochun Li. In 2012 he became a fellow of the American Mathematical Society.

Professor
IRI and Role
Data Engineering and Science > Research Community
Data Engineering and Science
University, College, and School/Department
Georgia Institute of Technology

Rachel Kuske

Rachel Kuske
rachel@math.gatech.edu

Rachel Ann Kuske is an American-Canadian applied mathematician and Professor and Chair of Mathematics at the Georgia Institute of Technology. 

Kuske received her Ph.D. in Applied Mathematics from Northwestern University in 1992. Her dissertation, Asymptotic Analysis of Random Wave Equations, was supervised by Bernard J. Matkowsky. From 1997 to 2002, she was assistant professor and then associate professor at the University of Minnesota. 

She is an expert on stochastic and nonlinear dynamics, mathematical modeling, asymptotic methods, and industrial mathematics. She served on the Scientific Advisory Board for the Institute for Computational and Experimental Research in Mathematics (ICERM), and as of 2021 she serves on ICERM's board of trustees.

Chair
Professor
Phone
(404) 894-9238
IRI and Role
Data Engineering and Science > Faculty
Energy > Research Community
Data Engineering and Science
Energy
University, College, and School/Department
Georgia Institute of Technology > College of Sciences > School of Mathematics

Srijan Kumar

 Srijan Kumar
srijan@gatech.edu

Prof. Srijan Kumar is an Assistant Professor in the School of Computational Science and Engineering, College of Computing, Georgia Institute of Technology. His research develops data science solutions to address the high-stakes challenges on the web and in the society. He has pioneered the development of user models and network science tools to enhance the well-being and safety of people. Applications of his research widely span e-commerce, social media, finance, health, web, and cybersecurity. His methods to predict malicious users and false information have been widely adopted in practice (being used in production at Flipkart and Wikipedia) and taught at graduate level courses worldwide. He has received several awards including the ACM SIGKDD Doctoral Dissertation Award runner-up 2018, Larry S. Davis Doctoral Dissertation Award 2018, and best paper awards from WWW and ICDM. His research has been the subject of a documentary and covered in popular press, including CNN, The Wall Street Journal, Wired, and New York Magazine. He completed his postdoctoral training at Stanford University, received a Ph.D. in Computer Science from University of Maryland, College Park, and B.Tech. from Indian Institute of Technology, Kharagpur.

Assistant Professor
Additional Research

Online malicious actors and dangerous content threaten public health, democracy, science, and society. To combat these threats, I build technological solutions, including accurate and robust models for early identification, prediction and attibution, as well as social mitigation solutions, such as empowering people to counter online harms. I have conducted the largest study of malicious sockpuppetry across nine platforms, ban evasion/recidivism on online platforms, and some of the earliest works on online misinformation. I am the one of the first to investigate of the reliability of web safety models used in practice, including Facebook's TIES and Twitter's Birdwatch. My work is one of the first to study whole-of-society solutions to mitigate online misinformation.

IRI and Role
Data Engineering and Science > Affiliated Faculty
Data Engineering and Science
University, College, and School/Department
Georgia Institute of Technology

Giri Krishnan

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giri@gatech.edu

Dr Krishnan is research professor in the Georgia Tech’s Interdisciplinary Research Institute, Institute for Data Engineering and Science, School of Computational Science and Engineering, College of Computing. He is an associate director of the Center for AI in Science and Engineering. His current interest is in developing AI methods for computational science problems across many domains. He is a computational neuroscientist by training, with past work spanning across a wide range of computational modeling and AI methods. His group's current focus is on generative methods for computational workflow, neural approaches for accelerating compute intensive problems and applying interpretable methods to scientific AI for advancing scientific understanding.

Prior to joining Georgia Tech, he was research scientist at UC San Diego and his research involved developing large-scale modeling of the brain to study sleep, memory and learning. In addition, he has contributed towards neuro-inspired AI and neuro-symbolic approaches. He is broadly interested in the emergence of intelligent behavior from neural computations in the brain and AI systems. 

Dr Krishnan has more than 50 publications and his research has been supported by multiple grants from NIH and NSF. He is passionate about open-science and reproducible science and strongly believes that progress in science requires reproducibility.

Associate Director, Center for Artificial Intelligence in Science and Engineering (ARTISAN)
Principal Research Scientist
Phone
404.894.2132
Office
CODA Building
Additional Research

AI : Deep learning, Neuro-symbolic ApproachesGeosciences.Molecular DynamicsNeuroscience : Theoretical and computational modeling

IRI and Role
Data Engineering and Science > Faculty
Data Engineering and Science > Leadership
Data Engineering and Science
University, College, and School/Department
Georgia Institute of Technology > College of Computing > School of Computational Science and Engineering

Julia Kubanek

Julia Kubanek
julia.kubanek@biosci.gatech.edu

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.

Professor
Vice President of Interdisciplinary Research
Phone
404-894-8424
Office
ES&T 2242
Additional Research
All organisms use chemicals to assess their environment and to communicate with others. Chemical cues for defense, mating, habitat selection, and food tracking are crucial, widespread, and structurally and functionally diverse. Yet our knowledge of chemical signaling is patchy, especially in marine environments. In our research we ask, "How do marine organisms use chemicals to solve critical problems of competition, disease, predation, and reproduction?" Our group uses an integrated approach to understand how chemical cues function in ecological interactions, working from molecular to community levels. We also use ecological insights to guide discovery of novel pharmaceuticals and molecular probes. In collaboration with other scientists, our most significant scientific achievements to date are: 1) characterizing the unusual molecular structures of antimicrobial defenses that protect algae from pathogens and which show promise to treat human disease; 2) understanding that competition among single-celled algae (phytoplankton) is mediated by a complex interplay of chemical cues that affect harmful algal bloom dynamics; 3) unraveling the molecular modes of action of antimalarial natural products towards developing new treatments for drug-resistant infectious disease; 4) discovering that progesterone signaling and quorum sensing are key pathways in the alternating sexual and asexual reproductive strategy of microscopic invertebrate rotifers - animals whose evolutionary history was previously thought to preclude either cooperative behavior (quorum sensing) typically associated with bacteria and hormonal regulation via progesterone typically seen in vertebrates; 5) identifying a novel aversivechemoreception pathway in predatory fish thatresults inrapid recognition and rejectionofchemically defended foods, thereby protecting these foods (prey) from predators. Ongoing projects include: 1) Waterborne chemical cues in the marine plankton: a systems biology approach (including metabolomics); 2) Exploration, conservation, and development of marine biodiversity in Fiji and the Solomon Islands (including drug discovery, mechanisms of action, and chemical ecology); 3) The role of sensory environment and predator chemical signal properties in determining non-consumptive effect strength in cascading interactions on oyster reefs; 4) Regulation of red tide toxicity by chemical cues from marine zooplankton; 5) Chemoreception of prey chemical defenses on tropical coral reefs.
IRI and Role
Bioengineering and Bioscience > Faculty
Data Engineering and Science > Faculty
Data Engineering and Science
Bioengineering and Bioscience
University, College, and School/Department
Georgia Institute of Technology > College of Sciences > School of Biological Sciences

Shreyas Kousik

Shreyas Kousik
shreyas.kousik@me.gatech.edu

Shreyas Kousik is an assistant professor in the George W. Woodruff School of Mechanical Engineering. Previously, Shreyas was a postdoctoral scholar at Stanford University, working in the ASL under Prof. Marco. Kousik completed a postdoc with Prof. Grace Gao in the NAV Lab. He received his Ph.D. in Mechanical Engineering at the University of Michigan, advised by Prof. Ram Vasudevan in the ROAHM Lab and received his undergraduate degree in Mechanical Engineering at Georgia Tech, advised by Prof. Antonia Antoniou.

Kousik’s research is focused on guaranteeing safety in autonomy via collision avoidance methods for robots. His lab’s goal is to translate safety in math to safety on real robots by exploring ways to model uncertainty from autonomous perception and estimation systems and ensure that these models are practical for downstream planning and control tasks

Assistant Professor
IRI and Role
Data Engineering and Science > Faculty
Robotics > Core
Data Engineering and Science
Robotics
Matter and Systems > Affiliated Faculty
University, College, and School/Department
Georgia Institute of Technology > College of Engineering > Woodruff School of Mechanical Engineering
Research Areas
Matter and Systems
  • Frontiers in Infrastructure

Tushar Krishna

Tushar Krishna
tushar@ece.gatech.edu

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.

ON Semiconductor Junior Professor, School of Electrical and Computer Engineering
Phone
404.894.9483
Office
Klaus 2318
Additional Research

Networks-on-Chip (NoC)Interconnection NetworksReconfigurable Computing and FPGAsHeterogeneous ArchitecturesDeep Learning Accelerators

IRI and Role
Data Engineering and Science > Faculty
Matter and Systems > Affiliated Faculty
Data Engineering and Science
University, College, and School/Department
Georgia Institute of Technology > College of Engineering > School of Electrical and Computer Engineering
Research Areas
Matter and Systems
  • Computing and Communication Technologies
  • Frontiers in Infrastructure

Maria Konte

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mkonte@gatech.edu

Maria Konte is a research scientist at the School of Computer Science at Georgia Tech and affiliated with its Institute for Information Security & Privacy. Her research is network security. Her work on network reputation as a measure to defend against cybercriminal infrastructures, appeared at ACM SIGCOMM15, and NANOG62 Research Track. She received the Passive and Active Measurement Conference Best Paper Award 2009 for her work on hosting infrastructures of malicious DNS domains. She received her Ph.D. in Computer Science from Georgia Tech in 2015. She holds an Master's in Systems Engineering from Boston University, and a Diploma in Eng. from the Industrial Engineering and Management Dept. at Technical University of Crete, Greece. She has interned at Damballa and Verisign Labs.

Research Scientist
Additional Research
Network Science
IRI and Role
Data Engineering and Science > Affiliated Faculty
Data Engineering and Science
University, College, and School/Department
Georgia Institute of Technology > College of Computing > School of Computer Science