Jeffery Markowitz

Jeffery Markowitz
jeffrey.markowitz@bme.gatech.edu
https://markolab.org/

Our work focuses on how the brain decides which action to perform at each moment in time – that is, action selection. We are interested in the cortical and subcortical circuits that mediate this process, and how they go awry in neurological disorders such as Parkinson’s disease. Specifically, we perform measurements of large-populations of neural activity in freely behaving mice using imaging and physiology, and distill their behavior in real-time using 3D cameras and probabilistic approaches to machine learning. Additionally, we are pursuing new methods to control activity in these circuits using precision closed-loop deep brain stimulation.

Assistant Professor
Office
UAW 3102
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Walker Byrnes

Walker Byrnes
walker.byrnes@gtri.gatech.edu
https://fptd.gatech.edu/people/walker-byrnes

Education

Masters of Science, Computer Science, Georgia Institute of Technology, 2022

Bachelors of Science, Mechanical Engineering, Georgia Institute of Technology, 2020

Research Expertise

Robot Planning and Control, Embodied Artificial Intelligence, Laboratory Automation, Software Engineering

Selected Publications

Bowles-Welch, A., Byrnes, W., Kanwar, B., Wang, B., Joffe, B., Casteleiro Costa, P., Armenta, M., Xu, J., Damen, N., Zhang, C., Mazumdar, A., Robles, F., Yeago, C., Roy, K., Balakirsky, S. (2021). Artificial Intelligence Enabled Biomanufacturing of Cell Therapies. Georgia Tech Research Institute Internal Research and Development (IRAD) Journal

Byrnes, W., Ahlin, K., Rains, G., & McMurray, G. (2019). Methodology for Stress Identification in Crop Fields Using 4D Height Data. IFAC-PapersOnLine, 52(30), 336–341. https://doi.org/10.1016/j.ifacol.2019.12.562

Byrnes, W., Kanwar, B., Damen, N., Wang, B., Bowles-Welch, A. C., Roy, K., & Balakirsky, S. (2023). Process Development and Manufacturing: A NEEDLE-BASED AUTOSAMPLER FOR BIOREACTOR CELL MEDIA COLLECTION. Cytotherapy, 25(6), S172.

Wang, B., Kanwar, B., Byrnes, W., Costa, P. C., Filan, C., Bowles-Welch, A. C., ... & Roy, K. (2023). Process Development and Manufacturing: DIGITAL TWIN-ENABLED FEEDBACK-CONTROLLED AUTOMATION WITH INTEGRATED PROCESS ANALYTICS FOR BIOMANUFACTURING OF CELL THERAPIES. Cytotherapy, 25(6), S206-S207.

Professional Activities

STEM@GTRI Program Mentor

IEEE Member

Research Engineer I
Phone
404-407-6513
GTRI
Geogia Tech Research Institute
Walker
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Vince Calhoun

Vince Calhoun
vcalhoun@gatech.edu
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Vince Calhoun, Ph.D., is the founding director of the tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS) where he holds appointments at Georgia State, Georgia Tech and Emory. He is the author of more than 900 full journal articles. His work includes the development of flexible methods to analyze neuroimaging data including blind source separation, deep learning, multimodal fusion and genomics, neuroinformatics tools. Calhoun is a fellow of the Institute of Electrical and Electronic Engineers, The American Association for the Advancement of Science, The American Institute of Biomedical and Medical Engineers, The American College of Neuropsychopharmacology, The Organization for Human Brain Mapping (OHBM) and the International Society of Magnetic Resonance in Medicine. He currently serves on the IEEE BISP Technical Committee and is also a member of IEEE Data Science Initiative Steering Committee as well as the IEEE Brain Technical Committee.

Director TReNDS
Director CABI
Distinguished University Professor
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Ahmet Coskun

Ahmet Coskun
acoskun7@gatech.edu
Website

Ahmet Coskun is a Bernie-Marcus Early-Career Professor of Biomedical Engineering at Georgia Institute of Technology and Emory University. Coskun is a systems biotechnologist and bioengineer, working at the nexus of multiplexed cell imaging and quantitative tissue biology. He directs an interdisciplinary research team at the Single Cell Biotechnology and Spatial Omics Laboratory, an interdisciplinary program strategically positioned for multiparameter imaging one cell at a time by spatial context and function. Coskun holds five issued patents and is also the co-author of more than 50 peer-reviewed publications in major scientific journals. He is a recipient of the NSF CAREER Award 2024, NIH R35 MIRA Award 2023, Sigma Xi Young Faculty Award 2025, CMBE Young Innovator Award 2024, BMES-CMBE Rising Star Award 2023, American Lung Association Innovation Award 2022, Burroughs Welcome Fund CASI Award 2016, and Student Recognition of Excellence in Teaching: Class of 1934 CIOS Award, among other research and teaching awards. Previously, Coskun was an instructor at Stanford University. He received his postdoctoral training from the California Institute of Technology. He holds a Ph.D. from the University of California, Los Angeles. His research has been supported by federal and private grants, including the National Institutes of Health (NIGMS, NIA, NIAID, NCI, NIDCR, OD, and ORIP), Wellcome LEAP, Burroughs Wellcome Fund (CASI), NSF CMaT, American Cancer Society IRG, Multi-cellular engineered living systems (M-CELS), and Regenerative Medicine Center. In addition, he leads outreach programs to engage K-12 students and undergraduate students through BioCrowd Studio, an innovative crowd-sourcing program bringing together interactive virtual media, distributed biokits, and collaborative spatial discovery.

Associate Professor of Biomedical Engineering
Phone
404.894.3866
Office
Petit Biotechnology Building, Office 1311
Additional Research

The Single Cell Biotechnology Lab aims to study spatial biology in health and disease. Our research lies at the nexus of multiplex bioimaging, microfluidic biodynamics, and big data biocomputation. Using high-dimensional nanoscale imaging datasets, we address fundamental challenges in immuno-engineering, cancers, and pediatric diseases. Our lab pursues a transformative multi-omics technology to integrate spatially resolved epigenetics and spatial genomics, proteomics, and metabolomics, all in the same platform. We uniquely benefit from super-resolution microscopy, imaging mass spectrometry, combinatorial molecular barcoding, and machine learning to enhance the information capacity of our cellular data. Variability of single cell images can be used to understand differences in therapeutic responses, as well as satisfy our curiosity on understanding how cells are spatially organized in nature.

University, College, and School/Department
Google Scholar
https://scholar.google.com/citations?user=4MR2wSIAAAAJ&hl=en
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Todd Streelman

Todd Streelman
todd.streelman@biology.gatech.edu
Website

Streelman grew up in Chestertown Md, where he developed a keen interest in the outdoors. He graduated with a BS in Biology from Bucknell University. While there, he attended a semester (plus one cold winter-mester) at the Marine Biological Laboratory in Woods Hole Massachusetts — where a chance encounter with Les Kaufman, Karel Liem, a few jars of pickled fish and a dental X-ray technician led to his lifelong love of cichlids. Streelman won the Pangburn Scholar-Athlete award (lacrosse) at BU. As a PhD student with Stephen Karl, Streelman developed approaches to identify, clone and sequence multiple, independent single-copy nuclear loci to reconstruct accurate phylogenies for cichlid fishes and their relatives. These phylogenies changed perspective about how these species groups evolved, and allowed new and improved inference about the evolutionary history of key ecological traits. Multi-locus phylogenies are now the standard in the field. 

As a postdoc in Tom Kocher’s lab and then a young investigator at Georgia Tech, Streelman worked on the first unbiased quantitative genetic (QTL) studies in Malawi cichlids, some of the first such studies in evolutionary systems. In particular, work showed that adaptive features of the cichlid jaw and the striking orange-blotch color polymorphism had a simple genetic basis.  

Streelman was an Alfred P. Sloan Foundation Postdoctoral Fellow, an Alfred P. Sloan Foundation Faculty Research Fellow and a NSF CAREER Awardee.  

Over the past two decades as an independent investigator, with support from the NSF, NIH and the Human Frontier Science Program, Streelman’s group has pioneered genomic and molecular biology approaches in the Malawi cichlid system to solve problems difficult to address in traditional model organisms. Major projects include (i) tooth and taste bud patterning and regeneration; (ii) the underpinnings of complex behavior; and (iii) developmental diversification of the face and brain.  

Generally, we are captivated by context-dependent traits like development and behavior because they must be executed in space and time with exquisite control. We analyze and manipulate genomes and development in multiple species of Malawi cichlids, spanning divergence in embryonic/adult traits and behavior – and collaborate with folks studying these same traits in zebrafish, mouse and human. In 2014, Streelman helped to coordinate a large effort to sequence the genomes of five East African cichlids, including one from Lake Malawi. This was a landmark for our research community and has recast attention to genome-wide approaches. We are motivated by the prospect to dissect evolutionary change with genetic and cellular precision.  

In his free time, Streelman likes mountaineering, skipping rocks and pickling.

Professor and Chair
Phone
404-894-3700
Office
EBB 3007
Additional Research
Researchers in the Streelman lab use the cichlid fish model to address fundamental questions in ecology and evolution. We are fascinated by context-dependent processes like embryonic development, the regeneration of organs and complex behavior. Context-dependency is interesting because it reveals new rules of biological systems that are not necessarily operational during homeostasis. For instance, recent results suggest that stem-like cells in the brain may tune the evolution of male social behavior. We raise cichlids from Lake Malawi in custom fish facilities at Georgia Tech. We invent automated assays to quantify behavior, we sequence genomes and the transcriptomes of cells, and we collaborate with computational scientists, engineers and colleagues working in zebrafish, mouse and human. Members of the lab are keen to learn new things by working together, compelled by mechanism and comparative approaches.
Research Focus Areas
Google Scholar
https://scholar.google.com/citations?user=-aJZjvYAAAAJ&hl=en
http://biosci.gatech.edu/people/todd-streelman
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Shuichi Takayama

Shuichi Takayama
takayama@gatech.edu
Takayama lab

Shu Takayama earned his BS and MS in Agricultural Chemistry at the University of Tokyo. He earned a Ph.D. in Chemistry at The Scripps Research Institute in La Jolla, California studying bio-organic synthesis with Dr. Chi‐Huey Wong. He then worked as a postdoc with Dr. George Whitesides at Harvard University where he focused on applying microfluidics to studying cell and molecular biology.

Takayama began his career at the University of Michigan, where led his lab in the Department of Biomedical Engineering and Macromolecular Science & Engineering for over 17 years. In 2017, the lab moved to Georgia Tech where Shu became the Georgia Research Alliance Price Gilbert Chair Professor of Biomedical Engineering in the Wallace H. Coulter Department of Biomedical Engineering.

Takayama’s research interests are diverse and motivated by clinical and biotechnology needs. He is always interested in hearing from stakeholders in these areas who are seeking engineering collaboration.

Professor, Wallace H. Coulter Department of Biomedical Engineering
GRA Eminent Scholar, Wallace H. Coulter Department of Biomedical Engineering
Price Gilbert, Jr. Chair in Regenerative Engineering andMedicine
Phone
404.385.5722
Office
EBB 4018
Additional Research

Use of micro/nanofluidics for cell analysis; diagnostics; and chromatin analysis; High throughput 3D cell cultures; Organs-on-a-chip construction and design; Role of rhythm in cell signaling; Self-switching fluidic circuits; Fracture fabrication

Google Scholar
https://scholar.google.com/citations?hl=en&user=IkhTUu4AAAAJ&view_op=list_works&sortby=pubdate
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Young-Hui Chang

Young-Hui Chang
yh.chang@ap.gatech.edu
Comparative Neuromechanics Laboratory

Young-Hui Chang is a professor in the School of Biological Sciences, Associate Dean of Faculty for College of Sciences, and director of research in the Georgia Tech Comparative Neuromechanics Lab where he studies the neuromechanics of movement in humans and other animals. Chang’s aim is to understand fundamental principles by which we control our movements as we move through our physical environment. This requires knowledge of the neural control of movement, the biomechanics of our musculoskeletal system, and the physics of our environmental interactions. The team also studies how our body adapts to acute and chronic changes. This involves processes of motor learning that are involved in everything from clinical rehabilitation to elite sports performance.

Professor
Phone
404-894-9993
Office
1309 B
Additional Research

Biomechanics

Neural signaling

Neuromechanics

Google Scholar
https://scholar.google.com/citations?user=97Xv4U4AAAAJ&hl=en&oi=ao
LinkedIn http://biosci.gatech.edu/people/young-chang
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Greg Gibson

Greg Gibson
greg.gibson@biology.gatech.edu
Website

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".

Professor
Director, Center for Integrative Genomics
Adjunct Professor, School of Medicine, Emory University
Phone
404-385-2343
Office
EBB 2115A
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.​
Google Scholar
https://scholar.google.com/citations?user=e4_ZXcwAAAAJ&hl=en&oi=ao
http://www.biology.gatech.edu/people/gregory-gibson
Greg
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