Devesh Ranjan

Devesh Ranjan

Devesh Ranjan

Chair, Mechanical Engineering

Devesh Ranjan was named the Eugene C. Gwaltney, Jr. School Chair in the Woodruff School of Mechanical Engineering at Georgia Tech and took over the role on January 1, 2022. He previously served as the Associate Chair for Research, and Ring Family Chair in the Woodruff School. He also holds a courtesy appointment in the Daniel Guggenheim School of Aerospace Engineering and serves as a co-director of the $100M Department of Defense-funded University Consortium for Applied Hypersonics (UCAH). At Georgia Tech, Ranjan has held several leadership positions including chairing ME’s Fluid Mechanics Research Area Group (2017 - 2018), serving as ME’s Associate Chair for Research (2019-present), and as co-chair of the “Hypersonics as a System” task-force, and serving as Interim Vice-President for Interdisciplinary Research (Feb 2021-June 2021). 

Ranjan joined the faculty at Georgia Tech in 2014. Before coming to Georgia Tech, he was a director’s research fellow at Los Alamos National Laboratory (2008) and Morris E. Foster Assistant Professor in the Mechanical Engineering department at Texas A&M University (2009-2014). He earned a bachelor's degree from the NIT-Trichy (India) in 2003, and master's and Ph.D. degrees from the UW-Madison in 2005 and 2007 respectively, all in mechanical engineering. 

Ranjan’s research focuses on the interdisciplinary area of power conversion, complex fluid flows involving shock and hydrodynamic instabilities, and the turbulent mixing of materials in extreme conditions, such as supersonic and hypersonic flows. Ranjan is a Fellow of the American Society of Mechanical Engineers (ASME), and has received numerous awards for his scientific contributions, including the DOE-Early Career Award (first GT recipient), the NSF CAREER Award, and the US AFOSR Young Investigator award. He was also named the J. Erskine Love Jr. Faculty Fellow in 2015. He was invited to participate in the National Academy of Engineering’s 2016 US Frontiers in Engineering Symposium. For his educational efforts and mentorship activity, he has received CATERPILLAR Teaching Excellence Award from College of Engineering at Texas A&M, as well as 2013 TAMU ASME Professor Mentorship Award from TAMU student chapter of the ASME. At Georgia Tech, Ranjan served as a Provost’s Teaching and Learning Fellow (PTLF) from 2018-2020, and was named 2021 Governor’s Teaching Fellow. He was also named Diversity, Equity and Inclusion (DEI) Fellow for 2020-21. 

Ranjan is currently part of a 10-member Technical Screening Committee of the NAE’s COVID-19 Call for Engineering Action taskforce, an initiative to help fight the coronavirus pandemic. He currently serves on the Editorial Board of Shock Waves and was a former Associate Editor for the ASME Journal of Fluids Engineering.

devesh.ranjan@me.gatech.edu

(404) 385-2922

Website

Research Focus Areas:
  • Energy Generation, Storage, and Distribution
  • Nuclear
  • Thermal Systems
Additional Research:
Nuclear; Thermal Systems

IRI Connections:

Jeff Skolnick

Jeff Skolnick

Jeff Skolnick

Regents’ Professor, School of Biological Sciences
Director, Center for the Study of Systems Biology
Mary and Maisie Gibson Chair & GRA Eminent Scholar in Computational Systems Biology

skolnick@gatech.edu

Website

University, College, and School/Department
Research Focus Areas:
  • Bioinformatics
Additional Research:
Systems Biology, Computational Biology, and BioinformaticsCancer MetabolomicsPrediction of protein tertiary and quaternary structure and folding pathwaysPrediction of membrane protein tertiary structurePrediction of DNA-binding proteinsProtein EvolutionPrediction of small molecule ligands for drug discoveryPrediction of druggable protein targetsDrug DesignAutomatic assignment of enzymes to metabolic pathwaysSimulation of Virtual Cells

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Joseph Lachance

Joseph Lachance

Joseph Lachance

Assistant Professor

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.

joseph.lachance@biology.gatech.edu

404-894-0794

Office Location:
EBB 2103

Website

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    Research Focus Areas:
    • Molecular Evolution

    IRI Connections:

    Anqi Wu

    Anqi Wu

    Anqi Wu, Ph.D.

    Assistant Professor

    Anqi Wu is an Assistant Professor at the School of Computational Science and Engineering (CSE), Georgia Institute of Technology. She was a Postdoctoral Research Fellow at the Center for Theoretical Neuroscience, the Zuckerman Mind Brain Behavior Institute, Columbia University. She received her Ph.D. degree in Computational and Quantitative Neuroscience and a graduate certificate in Statistics and Machine Learning from Princeton University. Anqi was selected for the 2018 MIT Rising Star in EECS, 2022 DARPA Riser, and 2023 Alfred P. Sloan Fellow. Her research interest is to develop scientifically-motivated Bayesian statistical models to characterize structure in neural data and behavior data in the interdisciplinary field of machine learning and computational neuroscience. She has a general interest in building data-driven models to promote both animal and human studies in the system and cognitive neuroscience.

    anqiwu@gatech.edu

    323-868-1604

    Anqi Wu Research

  • BRAin INtelligence and Machine Learning (BRAINML) Laboratory
  • Research Focus Areas:
    • Machine Learning
    • Neuroscience

    IRI Connections:

    Cassie Mitchell

    Cassie Mitchell

    Cassie Mitchell

    Assistant Professor

    Dr. Cassie S. Mitchell is a research engineer, elite athlete, and mentor. She is a current member of the USA Paralympic team and research faculty in the Wallace H. Coulter Department of Biomedical Engineering at Georgia Institute of Technology and Emory University. At age 18 Cassie was afflicted with Devics Neuromyelitis Optica, leaving her as a quadriplegic and with visual impairments. Her faith and philosophy on life has helped her to overcome the resulting challenges. She graduated with a B.S. in Chemical Engineering from Oklahoma State University and a Ph.D. in Biomedical Engineering from GT/Emory. She enjoys mentoring high school and college students as well as new spinal cord injury patients at Shepherd Center Brain and Spinal Cord Rehabilitiation Hospital, Atlanta, Georgia.

    cassie.mitchell@bme.gatech.edu

    Office Location:
    UAW 3106

    Lab Website

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    Research Focus Areas:
    • Neuroscience
    Additional Research:
    Cassie Mitchell's research goal centers around expediting clinical translation from bench to bedside using data-enabled prediction. Akin to data-based models used to forecast weather, Cassie's research integrates disparate, multi-scalar experimental and clinical data sets to dynamically forecast disease. Cassie is the principal investigator of the Laboratory for Pathology Dynamics, which uses a combination of computational, analytical, and informatics-based techniques to identify complex disease etiology, predict new therapeutics, and optimize current interventions. Cassie's research has predominantly targeted neuropathology, but her research applications in predictive medicine expand across all clinical specialties.

    IRI Connections:

    Greg Gibson

    Greg Gibson

    Greg Gibson

    Professor
    Director, Center for Integrative Genomics
    Adjunct Professor, School of Medicine, Emory University

    Greg Gibson is Professor of Biology and Director of the Center for Integrative Genomics at Georgia Tech. He received his BSc majoring in Genetics from the University of Sydney (Australia) and PhD in Developmental Genetics from the University of Basel. After transitioning to quantitative genetic research as a Helen Hay Whitney post-doctoral fellow at Stanford University, he initiated a program of genomic research as a David and Lucille Packard Foundation Fellow at the University of Michigan. He joined the faculty at Georgia Tech in Fall of 2009, after ten years at North Carolina State University where he developed tools for quantitative gene expression profiling and genetic dissection of development in the fruitfly Drosophila. He is now collaborating with the Center for Health Discovery and Well Being on integrative genomic analyses of the cohort. Dr Gibson is an elected Fellow of the American Association for the Advancement of Science, and serves as Section Editor for Natural Variation for PLoS Genetics. He has authored a prominent text-book, a "Primer of Genome Science" as well as a popular book about genetics and human health, "It Takes a Genome".

    greg.gibson@biology.gatech.edu

    404-385-2343

    Office Location:
    EBB 2115A

    Website

  • http://www.biology.gatech.edu/people/gregory-gibson
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    Research Focus Areas:
    • Cancer Biology
    • Molecular Evolution
    • Systems Biology
    Additional Research:
    Quantitative Evolutionary Genetics. After 15 years working on genomic approaches to complex traits in Drosophila, my group has spent much of the past 10 years focusing on human quantitative genetics. We start with the conviction that genotype-by-environment and genotype-by-genotype interactions are important influences at the individual level (even though they are almost impossible to detect at the population level). We use a combination of simulation studies and integrative genomics approaches to study phenomena such as cryptic genetic variation (context-dependent genetic effects) and canalization (evolved robustness) with the main focus currently on disease susceptibility.​ Immuno-Transcriptomics.As one of the early developers of statistical approaches to analysis of gene expression data, we have a long-term interest in applications of transcriptomics in ecology, evolution, and lately disease progression. Since blood is the mostaccessible human tissue, we've examined how variation is distributed within and among populations, across inflammatory and auto-immune states, and asked how it relates to variation in immune cell types. Our axes-of-variation framework provides a new way of monitoring lymphocyte, neutrophil, monocyte and reticulocyte profiles from whole peripheral blood. Most recently we have also been collaborating on numerous studies of specific tissues or purified cell types in relation to such diseases as malaria, inflammatory bowel disease, juvenile arthritis, lupus, and coronary artery disease. Predictive Health Genomics. Personalized genomic medicine can be divided into two domains: precision medicine and predictive health. We have been particularly interested in the latter, asking how environmental exposures and gene expression, metabolomic and microbial metagenomics profiles can be integrated with genomesequencing or genotyping to generate health risk assessments. A future direction is incorporation of electronic health records into genomic analyses of predictive health. Right now it is easier to predict the weather ten years in advance than loss of well-being, but we presume that preventative medicine is a big part of the future of healthcare.​

    IRI Connections:

    Yuhong Fan

    Yuhong Fan

    Yuhong Fan

    Associate Professor
    Georgia Research Alliance Distinguished Scholar

    yuhong.fan@biology.gatech.edu

    404-385-1312

    Office Location:
    Petit Biotechnology Building, Office 2313

  • Biological Sciences Profile
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    Research Focus Areas:
    • Cancer Biology
    • Regenerative Medicine
    • Systems Biology
    Additional Research:
    Epigenetics, Epigenomics, Chromatin, Gene Expression, Stem Cell Biology, Epidrugs, Mouse Genetics, Cancer, Function of Linker Histones in Mammalian Development, and Stem Cell Differentiation

    IRI Connections:

    Andrés J. García

    Andrés J. García

    Andrés García

    Executive Director, Parker H. Petit Institute for Bioengineering and Bioscience
    The Petit Director’s Chair in Bioengineering and Bioscience
    Regents’ Professor, George Woodruff School of Mechanical Engineering

    andres.garcia@me.gatech.edu

    404-894-9384

    Office Location:
    Petit Biotechnology Building, Office 2310

    Website

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    Research Focus Areas:
    • Biomaterials
    • Cell Manufacturing
    • Chemical Biology
    • Drug Design, Development and Delivery
    • Molecular, Cellular and Tissue Biomechanics
    • Regenerative Medicine
    Additional Research:
    Dr. Garcia's research centers on cellular and tissue engineering, areas which integrate engineering and biological principles to control cell function in order to restore and/or enhance function in injured or diseased organs. Specifically, his research focuses on fundamental structure-function relationships governing cell-biomaterials interactions for bone and muscle applications. Current projects involve the analysis and manipulation of cell adhesion receptors and their extracellular matrix ligands. For example, a mechanochemical system has been developed to analyze the contributions of receptor binding, clustering, and interactions with other cellular structural proteins to cell adhesion strength. In another research thrust, bio-inspired surfaces, including micropatterned substrates, are engineered to control cell adhesion in order to direct signaling and cell function. For instance, biomolecular surfaces have been engineered to target specific adhesion receptors to modulate cell signaling and differentiation. These biomolecular strategies are applicable to the development of 3D hybrid scaffolds for enhanced tissue reconstruction,"smart" biomaterials, and cell growth supports. Finally, genetic engineering approaches have been applied to engineer cells that form bone tissue for use in the development of mineralized templates for enhanced bone repair.

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    Julia Kubanek

    Julia Kubanek

    Julia Kubanek

    Professor
    Vice President of Interdisciplinary Research

    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.

    julia.kubanek@biosci.gatech.edu

    404-894-8424

    Office Location:
    ES&T 2242

    Website

  • http://biosciences.gatech.edu/people/julia-kubanek
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    Research Focus Areas:
    • Drug Design, Development and Delivery
    • Health & Life Sciences
    • Systems Biology
    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 Connections:

    Amirali Aghazadeh

    Amirali Aghazadeh

    Amirali Aghazadeh

    Assistant Professor

    Amirali Aghazadeh is an Assistant Professor in the School of Electrical and Computer Engineering and also program faculty of Machine Learning, Bioinformatics, and Bioengineering Ph.D. programs. He has affiliations with the Institute for Data Engineering and Science (IDEAS) and Institute for Bioengineering and Biosciences. Before joining Georgia Tech, Aghazaeh was a postdoc at Stanford and UC Berkeley and completed his Ph.D. at Rice University. His research focuses on developing machine learning and deep learning solutions for protein and small molecular design and engineering.
     

    aaghazadeh3@gatech.edu

    713-257-5758

    Office Location:
    CODA S1209

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    Research Focus Areas:
    • Algorithms & Optimizations
    • Big Data
    • Bioengineering
    • Bioinformatics
    • Biotechnology
    • Computational Genomics
    • Computational Materials Science
    • Diagnostics
    • Drug Design, Development and Delivery
    • Machine Learning
    • Systems Biology

    IRI Connections: