Dr. Stephen Balakirsky is the Chief Scientist for the Aerospace, Transportation & Advanced Systems Laboratory at the Georgia Tech Research Institute (GTRI), and the Director of Technical Initiatives at the Petit Institute for Bioengineering and Bioscience at GT.

Dr. Balakirsky’s research interests include robotic architectures, planning, bio-automation, robotic standards, and autonomous systems testing. His work in knowledge driven robotics couples real-time sensors and knowledge repositories to allow for flexibility and agility in robotic systems ranging from assembly and manufacturing systems to surveillance and logistics systems. The framework promotes software reuse and the ability to detect and correct for execution errors.

Previously, Dr. Balakirsky worked as a project manager at the National Institute of Standards and Technology (NIST) and was a senior research engineer at the Army Research Laboratory (ARL). At ARL, Dr. Balakirsky performed mobile robotics research in several areas, including command and control, mapping, human-computer interfaces, target tracking, vision processing and tele-operated control.

Mijin Kim is an assistant professor in the School of Chemistry and Biochemistry at Georgia Tech. Her research program is focused on the development and implementation of novel nanosensor technology to improve cancer research and diagnosis. The Kim Lab combines nanoscale engineering, fluorescence spectroscopy, machine learning approaches, and biochemical tools (1) to understand the exciton photophysics in low-dimensional nanomaterials, (2) to develop diagnostic/nano-omics sensor technology for early disease detection, and (3) to investigate biological processes with focusing problems in lysosome biology and autophagy. For her scientific innovation, Kim has received multiple recognitions, including being named as one of the STAT Wunderkinds and the MIT Technology Review Innovators Under 35 List.

Peter Kasson is an international leader in the study of biological membrane structure, dynamics, and fusion, with particular application to how viruses gain entry to cells. His group performs both high-level experimental and computational work – a powerful combination that is critical to advancing our understanding of this important problem. His publications describe inventive approaches to the measurement of viral fusion rates and characterization of fusion mechanisms, and to the modeling of large-scale biomolecular and lipid assemblies. He has applied these insights to the prediction of pandemic outbreaks and drug resistance, with particular attention to Zika, SARS-CoV-2, and influenza pathogens in recent years. See https://kassonlab.org/ for more information.

Saurabh Sinha received his Ph.D. in Computer Science from the University of Washington, Seattle, in 2002, and after post-doctoral work at the Rockefeller University with Eric Siggia, he joined the faculty of the University of Illinois, Urbana-Champaign, in 2005, where he held the positions of Founder Professor in Computer Science and Director of Computational Genomics in the Carl R. Woese Institute for Genomic Biology until 2022. He joined Georgia Institute of Technology in 2022, as Wallace H. Coulter Distinguished Chair in Biomedical Engineering, with joint appointments in Biomedical Engineering and Industrial & Systems Engineering. Sinha’s research is in the area of bioinformatics, with a focus on regulatory genomics and systems biology. Sinha is an NSF CAREER award recipient and has been funded by NIH, NSF and USDA. He co-directed an NIH BD2K Center of Excellence and was a thrust lead in the NSF AI Institute at UIUC. He led the educational program of the Mayo Clinic-University of Illinois Alliance, and co-led data science education for the Carle Illinois College of Medicine. Sinha has served as Program co-Chair of the annual RECOMB Regulatory and Systems Genomics conference and served on the Board of Directors for the International Society for Computational Biology (2018-2021). He was a recipient of the University Scholar award of the University of Illinois, and selected as a Fellow of the AIMBE in 2018.

Vida Jamali earned her Ph.D. in chemical and biomolecular engineering from Rice University under the guidance of Professor Matteo Pasquali and her B.S. in chemical engineering from Sharif University of Technology. Jamali was a postdoctoral researcher in Professor Paul Alivisato's lab at UC Berkeley and Kavli Energy Nanoscience Institute before joining Georgia Tech. The Jamali Research Group uses experimental, theoretical, and computational tools such as liquid phase transmission electron microscopy, rheology, statistical and colloidal thermodynamics, and machine learning to study the underlying physical principles that govern the dynamics, statistics, mechanics, and self-organization of nanostructured soft materials, in and out of thermal equilibrium, from both fundamental and technological aspects.

Garrett Stanley is the McCamish Foundation Distinguished Chair in the Department of Biomedical Engineering at Georgia Tech and Emory University and is the Co-Director of the Georgia Tech Neural Engineering Center. He has formal training, both at undergraduate and doctorate levels, in engineering (specifically trained in Control Theory through all of his graduate work), and has worked extensively in the field of neuroscience, specifically in sensory processing in the brain, and more specifically in vision and somatosensation (touch). 

From 1999 to 2007, he was an Associate Professor in the Division of Engineering & Applied Sciences at Harvard University, where he was the leader of the Harvard Biocontrols Laboratory. Professor Stanley is now a faculty member in the Department of Biomedical Engineering at Georgia Tech/Emory University (2008-2013 Associate Professor, 2014-present Full Professor), and leads several programmatic efforts at the interface between basic neuroscience and neurotechnology (Co-Direct the GT Neural Engineering Center, Direct Computational Neuroscience training program, Director of Graduate Studies, etc.). In terms of research, he is the leader of the Neural Coding group in the Laboratory for Neuroengineering. 

The research of his group has been funded by the National Institute of Health, National Science Foundation, the Office of Naval Research, DARPA, and several private foundations. Prof. Stanley’s group routinely publishes our research in the top Neuroscience journals, along with more technical work in engineering journals. He is considered a leader in the field nationally and internationally.

Peng Qiu is an Associate Professor in the Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech School of Engineering and Emory University School of Medicine. 

Dr. Qiu is a member of the Discovery and Developmental Therapeutics Research Program at Winship Cancer Institute. He received his Ph.D. in Electrical and Computer Engineering from University of Maryland in College Park, Maryland. 

His research interests are in the areas of bioinformatics and computational biology with a focus on statistical signal processing, machine learning, control systems and optimization. 

As it relates to cancer, he is interested in single-cell analysis, and multi-omics pan-cancer data integration. He is collaborating with Winship investigator Adam Marcus on the analysis of single-cell RNAseq data of leader/follower cells in experiments that study the behavior of collective invasion in cancer.

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.

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.

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.