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.

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.

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.

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".