James Gumbart

James Gumbart

James Gumbart

Associate Professor

My lab is focused on understanding how proteins and other biological systems function at a molecular level. To probe these systems, we carry out molecular dynamics simulations, modeling biological behavior one atom at a time. The simulations serve as a "computational microscope" that permits glimpses into a cell's inner workings through the application of advanced software and high-powered supercomputers. We are particularly interested in how bacteria utilize unique pathways to synthesize proteins and insert them into both the inner and outer membranes, how they import nutrients across two membranes, and how their cell walls provide shape and mechanical strength.

gumbart@physics.gatech.edu

404-385-0797

Office Location:
Howey W202

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    Research Focus Areas:
    • Molecular Evolution
    Additional Research:
    Computational simulations of complex biophysical phenomena involving proteins and other biomolecules.

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    Melissa Kemp

    Melissa Kemp

    Melissa Kemp

    Professor
    Georgia Cancer Coalition Distinguished Cancer Scholar

    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.

    melissa.kemp@bme.gatech.edu

    404-385-6341

    Office Location:
    EBB 3019

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    Research Focus Areas:
    • Cancer Biology
    • Chemical Biology
    • Systems Biology
    Additional Research:
    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.

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    Kostas Konstantinidis

    Kostas Konstantinidis

    Kostas Konstantinidis

    Professor

    Dr. Kostas Konstantinidis joined the Georgia Institute of Technology as an Assistant Professor in November 2007. He received his BS in Agriculture Sciences from the Aristotle University of Thessaloniki (Greece) in 1999. He continued his studies at the Center for Microbial Ecology at Michigan State University (East Lansing, MI) under the supervision of Prof. James M. Tiedje, where he obtained a PhD in 2004. His PhD studies were fully supported by the Bouyoukos Fellowship program and were devoted in advancing our understanding of the ecology and physiology of soil bacteria through the comparative analysis of their whole-genome sequences. This research resulted in a NSF-funded project to advance the species definition for prokaryotes, which also fostered a short post-doc position at the Center for Microbial Ecology. He then moved to MIT and the laboratory of Prof. Edward DeLong to get trained on innovating metagenomic techniques. His work at MIT provided important new insights into the complexity and function of oceanic microbial communities as well as how life is adapting in the deep and cold Oceans. His research interests are at the interface of genomics and computational biology in the context of microbial ecology with the overarching goal to broaden understanding of the genetic and metabolic potential of the microbial world. Advancing our knowledge on these issues is essential for a better understanding of the microbes that power, by and large, the biogeochemical cycles that sustain life on Earth and cause or control important diseases in humans and animals. He is a member of the American Society for Microbiology (ASM), the International Society for Microbial Ecology (ISME) and the Association of Environmental Engineering and Science Professors (AEESP). Konstantinidis held the Carlton S. Wilder Junior Professorship for five years and subsequently received the Maulding Faculty Fellowship in the School of Civil and Environmental Engineering.

    kostas.konstantinidis@gatech.edu

    404-385-3628

    Office Location:
    ES&T 3224

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    Research Focus Areas:
    • Molecular Evolution
    • Systems Biology
    Additional Research:
    Environmental microbiology and genomics Computational approaches for studying the ecology and evolution of microorganisms Development of genomic and proteomic techniques to investigate and quantify in-situ important microbial-mediated processes Population and single-cell genomics Assessing the extent and value of biodiversity within natural assemblages of Bacteria and Archaea Biotechnological applications of microbial functional diversity Environmental relevance of microbial diseases Our laboratory focuses on the smallest organisms on the planet, the bacteria and the archaea, which represent the largest reservoir of biodiversity on Earth, drive the life-sustaining biogeochemical cycles, and cause or control diseases in humans, animals, and plants. Our scientific interests are at the interface of microbial ecology with engineering and computational biology. The long-term goals of our research is to broaden understanding of the genetic and metabolic diversity of the microorganisms and to explore this biodiversity for biotechnological applications.

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    Christine Heitsch

    Christine Heitsch

    Christine Heitsch

    Professor

    Christine Heitsch is Professor of Mathematics at Georgia Tech, with courtesy appointments in Biological Sciences and Computational Science & Engineering as well as an affiliation with the Petit Institute for Bioengineering & Bioscience.

    She is also Director of the new Southeast Center for Mathematics and Biology (SCMB), an NSF-Simons MathBioSys Research Center, and finishing her tenure directing the GT Interdisciplinary Mathematics Preparation and Career Training (IMPACT) Postdoctoral Program.

    Heitsch's research interests lie at the interface between discrete mathematics and molecular biology, specifically combinatorial problems "as motivated by" and "with applications to" fundamental biomedical questions like RNA folding.

    Students interested in pursuing graduate studies in discrete mathematical biology can do so through a number of GT PhD programs including Bioinformatics or Quantitative Biosciences as well as Algorithms, Combinatorics, and Optimization (ACO), Computational Science & Engineering (CSE), and (of course) Mathematics.
     

    heitsch@math.gatech.edu

    404-894-4758

    Office Location:
    Skiles 211B

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    Research Focus Areas:
    • Systems Biology
    Additional Research:
    Heitsch's research interests lie at the interface between discrete mathematics and molecular biology, specifically combinatorial problems "as motivated by" and "with applications to" fundamental biomedical questions like RNA folding.

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    Christopher Rozell

    Christopher Rozell

    Christopher Rozell

    Professor; School of Electrical and Computer Engineering
    Director; Sensory Information Processing Lab

    crozell@gatech.edu

    404.385.7671

    Office Location:
    Centergy One 5218

    SIPLab

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    Research Focus Areas:
    • Artificial Intelligence (AI)
    • Neuroscience
    Additional Research:
    Biological and computational vision Theoretical and computational neuroscience High-dimensional data analysis Distributed computing in novel architectures Applications in imaging, remote sensing, and biotechnology Dr. Rozell's research interests focus on the intersection of computational neuroscience and signal processing. One branch of this work aims to understand how neural systems organize and process sensory information, drawing on modern engineering ideas to develop improved data analysis tools and theoretical models. The other branch of this work uses recent insight into neural information processing to develop new and efficient approaches to difficult data analysis tasks.

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    Munmun De Choudhury

    Munmun De Choudhury

    Munmun De Choudhury

    Associate Professor; Director of Social Dynamics and Well-Being Laboratory; Co-Lead of Children's Healthcare of Atlanta Pediatric Technology Center at Georgia Tech's Patient-Centered Care Delivery

    Munmun De Choudhury is an Associate Professor at the School of Interactive Computing in Georgia Institute of Technology. Dr. De Choudhury is renowned for her groundbreaking contributions to the fields of computational social science, human-computer interaction, and digital mental health. Through fostering interdisciplinary collaborations across academia, industry, and public health sectors, Dr. De Choudhury and her collaborators have contributed significantly to advancing the development of computational techniques for early detection and intervention in mental health, as well as in unpacking how social media use benefits or harms mental well-being. De Choudhury's contributions have been recognized worldwide, with significant scholarly impact evidenced by numerous awards like induction into the SIGCHI Academy and the 2023 SIGCHI Societal Impact Award. Beyond her academic achievements, Dr. De Choudhury is a proactive community leader, a persistent contributor to policy-framing and advocacy initiatives, and is frequently sought for expert advice to governments, and national and international media.

     

    munmund@gatech.edu

    4043858603

    http://www.munmund.net/biography.html

    Research Focus Areas:
    • Big Data
    • Bioinformatics
    • Diagnostics
    • Health & Life Sciences
    • Healthcare
    • Machine Learning
    • Public Health
    • Social & Environmental Impacts

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    Eva Dyer

    Eva Dyer

    Eva Dyer

    Assistant Professor

    Dyer’s research interests lie at the intersection of machine learning, optimization, and neuroscience. Her lab develops computational methods for discovering principles that govern the organization and structure of the brain, as well as methods for integrating multi-modal datasets to reveal the link between neural structure and function.

    evadyer@gatech.edu

    404-894-4738

    Office Location:
    UAW 3108

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    Research Focus Areas:
    • AI
    • Neuroscience
    Additional Research:
    Eva Dyer’s research combines machine learning and neuroscience to understand the brain, its function, and how neural circuits are shaped by disease. Her lab, the Neural Data Science (NerDS) Lab, develops new tools and frameworks for interpreting complex neuroscience datasets and building machine intelligence architectures inspired by the brain. Through a synergistic combination of methods and insights from both fields, Dr. Dyer aims to advance the understanding of neural computation and develop new abstractions of biological organization and function that can be used to create more flexible AI systems.

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    Christopher Wiese

    Christopher Wiese

    Christopher Wiese

    Assistant Professor

    My research focuses on three major areas: (a) understanding and improving worker well-being, (b) temporal dynamics in team contexts, and (c) research methods. Collectively, my research seeks to improve our understanding of optimal human functioning more generally, across time, and within specific contexts (e.g., organizational, teams).

    ChrisWiese@gatech.edu

    Website

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    Ghassan AlRegib

    Ghassan AlRegib

    Ghassan AlRegib

    Professor
    Center Director

    Professor AlRegib is currently a professor in the School of Electrical and Computer Engineering at the Georgia Institute of Technology. He is the director of the Multimedia and Sensors Lab (MSL) at Georgia Tech. In 2012, he was named the director of Georgia Tech’s Center for Energy and Geo Processing (CeGP). He is a faculty member of the Center for Signal and Information Processing (CSIP). He also serves as the director of Georgia Tech’s initiatives and programs in MENA. He has authored and co-authored more than 170 articles in international journals and conference proceedings. He has been issued several U.S. patents and invention disclosures. He is a Senior Member of the IEEE.

    Professor AlRegib received the ECE Outstanding Graduate Teaching Award in 2001 and both the CSIP Research and the CSIP Service Awards in 2003. In 2008, he received the ECE Outstanding Junior Faculty Member Award. In 2017, he received the 2017 Denning Faculty Award for Global Engagement.

    Professor AlRegib has participated in many service activities. He is an area chair for ICME 2016/17 and the tutorial chair for ICIP 2016. He is a voted member of the IEEE SPS Technical Committees on Multimedia Signal Processing (MMSP) and Image, Video, and Multidimensional Signal Processing (IVMSP). He was a member of the editorial board of the Wireless Networks Journal (WiNET), 2009-2016 and the IEEE Transaction on Circuits and Systems for Video Technology (CSVT), 2014-2016. Currently, he is a member of the the editorial board of the Elsevier journal Signal Processing: Image Communications, 2015-present. He served as the chair of the Special Sessions Program at ICIP’06; the area editor for Columns and Forums in the IEEE Signal Processing Magazine (SPM), 2009–12; the associate editor for IEEE SPM, 2007-09; the tutorials co-chair in ICIP’09; a guest editor for IEEE J-STSP, 2012; a track chair in ICME’11; the co-chair of the IEEE MMTC Interest Group on 3D Rendering, Processing, and Communications, 2010-12; the chair of the Speech and Video Processing Track at Asilomar 2012; and the technical program co-chair of IEEE GlobalSIP, 2014. He is leading a team that is organizing the IEEE VIP Cup, 2017.

    His research group, which consists of more than 20 students and researchers, is working on projects related to machine learning, image and video processing, image and video understanding, seismic imaging, perception in visual data processing, healthcare intelligence, and video analytics.

    Professor AlRegib has provided services and consultation to several firms, companies, and international educational and R&D organizations. He has been a expert witness in a number of patent infringement cases.

    alregib@gatech.edu

    404-894-7005

    Office Location:
    Centergy-One Room 5224

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    Research Focus Areas:
    • Bioinformatics
    • Conventional Energy
    • Machine Learning
    Additional Research:
    Computational Ophthalmology, Machine Learning, Image/Video Processing, Computer Vision, Perception, Scene Understanding, Seismic Interpretation, Learning in the Wild, Learning for Autonomous Vehicles, Medical Image Analysis, Geosystems

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    Ashok Goel

    Ashok Goel

    Ashok Goel

    Professor; School of Interactive Computing
    Director| Ph.D. program in Human-Centered Computing; College of Computing
    Co-Director; Center for Biologically Inspired Design
    Fellow; Brook Byers Institute for Sustainable Systems

    Ashok Goel is a Professor of Computer Science in the School of Interactive Computing at Georgia Institute of Technology in Atlanta, USA. He obtained his Ph.D. from The Ohio State University. At Georgia Tech, he is also the Director of the Ph.D. Program in Human-Centered Computing, a Co-Director of the Center for Biologically Inspired Design, and a Fellow of Brook Byers Institute for Sustainable Systems. For more than thirty years, Ashok has conducted research into artificial intelligence, cognitive science and human-centered computing, with a focus on computational design, modeling and creativity. His recent work has explored design thinking, analogical thinking and systems thinking in biological inspired design (https://www.youtube.com/watch?v=wiRDQ4hr9i8), and his research is now developing virtual research assistants for modeling biological systems. Ashok teaches a popular course on knowledge-based AI as part of Georgia Tech's program on Online Masters of Science in Computer Science. He has pioneered the development of virtual teaching assistants, such as Jill Watson, for answering questions in online discussion forums (https://www.youtube.com/watch?v=WbCguICyfTA). Chronicle of Higher Education recently called virtual assistants exemplified by Jill Watson as one of the most transformative educational technologies in the digital era. Ashok is the Editor-in-Chief of AAAI's AI Magazine.

    ashok.goel@cc.gatech.edu

    Office Location:
    GVU/TSRB

    Design & Intelligence Laboratory

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    Research Focus Areas:
    • Human Augmentation
    • Platforms and Services for Socio-Technical Frontier
    • Shaping the Human-Technology Frontier
    Additional Research:
    Artificial Intelligence; Cognitive Science; Computational Design; Computational Creativity; Educational Technology; Design Science; Learning Science and Technology; Human-Centered Computing

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