Jeffery Markowitz

Jeffery Markowitz

Jeffery Markowitz

Assistant Professor

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.

jeffrey.markowitz@bme.gatech.edu

Office Location:
UAW 3102

https://markolab.org/


IRI Connections:

Walker Byrnes

Walker Byrnes

Walker Byrnes

Research Engineer I

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

walker.byrnes@gtri.gatech.edu

404-407-6513

https://fptd.gatech.edu/people/walker-byrnes


IRI Connections:

Vince Calhoun

Vince Calhoun

Vince Calhoun

Director TReNDS
Director CABI
Distinguished University Professor

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.

vcalhoun@gatech.edu

Learn more

Research Focus Areas:
  • Algorithms & Optimizations
  • Big Data
  • Bioengineering
  • Health & Life Sciences
  • Machine Learning
  • Neuroscience

IRI Connections:

Kyle Allison

Kyle Allison

Kyle Allison

Assistant Professor, Department of Medicine/Infectious Disease, Emory University

kyle.allison@bme.gatech.edu

404-727-6974

Office Location:
Emory HSRB E146

Website

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    Research Focus Areas:
    • Systems Biology
    Additional Research:
    Our lab studies the response of bacteria to antibiotics in order to develop new methods for eradicating persistent bacteria. Bacterial persistence is a form antibiotic resistance in which a transient fraction of bacterial cells tolerates severe antibiotic treatment while the majority of the population is eliminated. These 'persisters' can contribute to chronic infections and are a major medical problem. Despite their medical and scientific importance, presistence is not fully understood. A crucial challenge in studying bacterial persistence results from a lack of methods to isolate persisters from the heterogeneous populations in which they occur. As a result, systems-level analysis of persisters is beyond current techniques, and fundamental questions regarding their physiological diversity remain unanswered. Our lab seeks to develop methods to isolate persisters and study them with systems-wide, molecular techniques. The resulting findings will be used to engineer improved antibiotic therapies. Dr. Allison's previous research included development of a novel method to eradicate pathogenic bacteria, includingEscherichia coliandStaphylococcus aureus,by metabolic stimulation and the finding that bacteria communicate with each other to alter their tolerance to antibiotics.

    IRI Connections:

    Ahmet Coskun

    Ahmet Coskun

    Ahmet Coskun

    Assistant Professor of Biomedical Engineering

    Ahmet Coskun is a systems biotechnologist and bioengineer, working at the nexus of multiplex imaging and quantitative cell biology.

    Single Cell Biotechnology Lab is strategically positioned for imaging one cell at a time for spatial context. We are multi-disciplinary researchers interested in photons, ions, and electrons and their interactions with cells and tissues.  Using large-scale experiments and computational analysis, we address fundamental challenges in cancers, immunology, and pediatric diseases. Variability of single cell profiles can be used to understand differences in therapeutic response, as well as satisfy our curiosity on understanding how cells are spatially organized in nature.

    Our lab aims to deliver biotechnologies for spatial multi-omics profiling vision at the single cell level.

    1) Spatial genomics: Our lab was part of an early efforts to demonstrate spatially resolved RNA profiling in single cells using a sequential FISH method. We will continue leveraging seqFISH and correlation FISH (another computational RNA imaging method) for exploring spatial dynamics of cellular societies.

    2) Spatial proteomics: Our lab develops expertise on antibody-oligonucleotide based barcoding for multiplex protein imaging using CODEX technology. We combine CODEX with super-resolution and 3D imaging to visualize and quantify subcellular epigenetic states of immune and cancer cells.

    3) Spatial metabolomics: Our lab works on computational and isotope barcoding approaches for small molecule profiling using MIBI (Multiplexed ion beam imaging). 3D and subcellular metabolic state of individual cells are used to model functional modes of cellular decision making in health and disease.

    We also develop machine learning and deep learning algorithms to make sense of imaging based single cell big data.

    In a nutshell, we create image-based ‘omic technologies to reveal spatial nature of biological systems. We benefit from enabler tools:  Super-resolution bioimaging, barcoded biochemical reagents, advanced algorithms and automated microfludics. Topical interests include Spatial Biology, Liquid Biopsy, and Global Oncology.

    Ahmet Coskun trained at Stanford (Postdoc/Instructor with Garry Nolan), Caltech (Postdoc with Long Cai) and UCLA (PhD with Aydogan Ozcan). His lab is currently funded by NIH K25, BWF CASI, Georgia Tech & Emory.

    acoskun7@gatech.edu

    404-894-3866

    Office Location:
    Petit Biotechnology Building, Office 1311

    Website

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    University, College, and School/Department
    Research Focus Areas:
    • Bioinformatics
    • Cancer Biology
    • Cell Manufacturing
    • Chemical Biology
    • Computational Genomics
    • Public Health
    • Regenerative Medicine
    • Systems Biology
    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.

    IRI Connections:

    Todd Streelman

    Todd Streelman

    Todd Streelman

    Professor and Chair

    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.

    todd.streelman@biology.gatech.edu

    404-894-3700

    Office Location:
    EBB 3007

    Website

  • http://biosci.gatech.edu/people/todd-streelman
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    Research Focus Areas:
    • Molecular Evolution
    • Neuroscience
    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.

    IRI Connections:

    Shuichi Takayama

    Shuichi Takayama

    Shuichi Takayama

    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

    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.

    takayama@gatech.edu

    404.385.5722

    Office Location:
    EBB 4018

    Takayama lab

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    Research Focus Areas:
    • Bioengineering
    • Biomaterials
    • Cancer Biology
    • Cell Manufacturing
    • Medical Device Design, Development and Delivery
    • Micro and Nano Device Engineering
    • Miniaturization & Integration
    • Molecular, Cellular and Tissue Biomechanics
    • Nanomaterials
    • Systems Biology
    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

    IRI Connections:

    Young-Hui Chang

    Young-Hui Chang

    Young-Hui Chang

    Professor

    Dr. Chang is the director of the Comparative Neuromechanics Laboratory. His research program focuses on trying to understand how animals move through and interact with their environment.

    yh.chang@ap.gatech.edu

    404-894-9993

    Office Location:
    1309 B

    Website

  • http://biosci.gatech.edu/people/young-chang
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    Research Focus Areas:
    • Molecular, Cellular and Tissue Biomechanics
    • Neuroscience
    Additional Research:
    Current projects involve studying how gait compensations are made both from biomechanical and motor control perspectives. To this end, we study the control of human and non-human vertebrate legs within the conceptual framework of the Uncontrolled Manifold hypothesis. This idea suggests neuromechanical redundancy is not only helpful, but is exploited by the nervous system to simplify control of and completion of specific behavioral tasks, such as those involved in limb function during locomotion. We integrate concepts and tools from comparative biomechanics, neurophysiology and computational neuroscience.

    IRI Connections: