Dr. Gregory S. Sawicki is the Interim Executive Director of the Institute for Robotics and Intelligent Machines and Professor and Joseph Anderer Faculty Fellow at Georgia Tech with appointments in the George W. Woodruff School of Mechanical Engineering and the School of Biological Sciences. He holds a B.S. from Cornell University ('99) and a M.S. in Mechanical Engineering from University of California-Davis ('01). Dr. Sawicki completed his Ph.D. in Human Neuromechanics at the University of Michigan, Ann-Arbor ('07) and was an NIH-funded Post-Doctoral Fellow in Integrative Biology at Brown University ('07-'09). Dr. Sawicki was a faculty member in the Joint Department of Biomedical Engineering at NC State and UNC Chapel Hill from 2009-2017. In summer of 2017, he joined the faculty at Georgia Tech with appointments in Mechanical Engineering 3/4 and Biological Sciences 1/4.

After studying ecology as a biology major at Swarthmore College, Annalise Paaby learned fly pushing as a technician for Steve DiNardo and then discovered evolutionary genetics as a tech for Paul Schmidt. She joined Paul’s lab as a graduate student and earned her Ph.D. from the University of Pennsylvania in 2009. In 2015, Paaby completed her postdoctoral training with Matt Rockman at New York University and began her appointment at Georgia Tech.

Patrick McGrath's research group is interested in understanding the genetic basis of heritable behavioral variation. In the current age, it has become cheap and easy to catalog the set of genetic differences between two individuals. But which genetic differences are responsible for generating differences in innate behaviors, including liability to neurological diseases such as autism, bipolar disease, and schizophrenia? How do these causative genetic variants modify a nervous system? Besides their role in disease, genetic variation is the substrate for natural selection. To understand how behavior evolves, we must understand how it varies.

Brian Hammer's lab studies molecular mechanisms important for microbial interactions. Bacteria are genetically encoded with regulatory networks to integrate external information that tailors gene expression to particular niches. Bacteria use chemical signals to orchestrate behaviors that facilitate both cooperation and conflict with members of the communities they inhabit. The group uses genetics and genomics, biochemistry, bioinformatics, and ecological approaches with a focus on the waterborne pathogen Vibrio cholerae.

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.

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

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.

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.

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.