Bilal Haider is an assistant professor in the Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech and Emory University. He received B.S. and M.S. degrees from the University of Illinois Urbana-Champaign and M.Phil. and Ph.D. degrees from Yale University. He joined the faculty at Georgia Tech after completing postdoctoral training at University College London.

Haider’s research measures, manipulates and deciphers neural circuit activity underlying normal and impaired visual perception, providing new insights into how the brain processes information and orchestrates behavioral actions.

Haider has received several prestigious awards, including from the Whitehall Foundation, Simons Foundation and the Alfred P. Sloan Foundation. His work has been published in leading journals, including Nature, Nature Neuroscience, Nature Communications and Neuron.

My research laboratory uses a multidisciplinary approach to design and develop micro/nano-scale tissue engineering technologies with the ultimate goal of generating functional bioartificial tissues and organs. Reaching this goal requires the skills and expertise from several disciplines including cell biology, medicine, nanotechnology, biochemistry, and materials science and engineering. Current projects in my lab include: 1) Bioengineering iPSC-derived, functional cardiac tissues using 3D bioprinting technology for in vitro disease modeling and drug screening; 2) Engineering cardiac patch systems to regenerate damaged myocardium in murine and swine models of ischemic heart injury; 3) 3D bioprinting-based liver and bone tissue engineering; and 4) Synthesis and characterization of smart nanobiomaterials (e.g., functionalized nanoparticles) for diverse biomedical applications including drug delivery and medical imaging.

Dyer’s research interests lie at the intersection of machine learning, optimization, and neuroscience. Her lab develops computational methods for discovering principles that govern the organization and structure of the brain, as well as methods for integrating multi-modal datasets to reveal the link between neural structure and function.

Edward Botchwey received a B.S. in mathematics from the University of Maryland at College Park in 1993 and both M.E. and Ph.D. degrees in materials science engineering and bioengineering from the University of Pennsylvania in 1998 and 2002 respectively. He was recruited to the faculty at Georgia Tech in 2012 from his previous position at the University of Virginia. His current position is associate professor in the Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech and Emory University. Botchwey is former Ph.D. fellow of the National GEM Consortium, a former postdoctoral fellow of the UNCF-Merk Science Initiative, and a recipient of the Presidential Early Career Awards for Scientists and Engineers from the National Institutes of Health. 

Botchwey’s research focuses on the delivery of naturally occurring small molecules and synthetic derivatives for applications in tissue engineering and regenerative medicine. He is particularly interested in how transient control of immune response using bioactive lipids can be exploited to control trafficking of stem cells, enhance tissue vascularization, and resolve inflammation. Botchwey serves on the Board of Directors of the Biomedical Engineering Society (BMES) and serves as the secretary to the Biomedical Engineering Decade committee.

Botchwey, his wife Nisha Botchwey (also a GT faculty member) and three children reside in east Atlanta in the Lake Claire neighborhood. Botchwey is also an avid cyclist and enjoys reading YA fantasy, behavioral neuroscience and Christian theology books in his personal time.

Yonggang Ke's research is highly interdisciplinary combining chemistry, biology, physics, material science, and engineering. The overall mission of his research is to use interdisciplinary research tools to program nucleic-acid-based "beautiful structures and smart devices" at nanoscale, and use them for scientific exploration and technological applications. Specifically, his team focuses on (1) developing new DNA self-assembly paradigms for constructing DNA nanostructures with greater structural complexity, and with controllable sizes and shapes; (2) developing new imaging or drug delivery systems based on DNA nanostructuresl; (3) exploring design of novel DNA-based nanodevices for understanding basic biological questions at molecular level; (4) developing DNA-templated protein devices for constructing artificial bio-reactors.

For cancer-related research/application, Ke will focus on using DNA/RNA nanostructures as drug delivery vehicles. He is also interested in using DNA/RNA nanostructures to study cancer cell biology at molecular level.

Jaydev P. Desai, Ph.D, is currently a Professor and BME Distinguished Faculty Fellow in the Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech. Prior to joining Georgia Tech in August 2016, he was a Professor in the Department of Mechanical Engineering at the University of Maryland, College Park (UMCP). He completed his undergraduate studies from the Indian Institute of Technology, Bombay, India, in 1993. He received his M.A. in Mathematics in 1997, M.S. and Ph.D. in Mechanical Engineering and Applied Mechanics in 1995 and 1998 respectively, all from the University of Pennsylvania. He was also a Post-Doctoral Fellow in the Division of Engineering and Applied Sciences at Harvard University. He is a recipient of several NIH R01 grants, NSF CAREER award, and was also the lead inventor on the "Outstanding Invention of 2007 in Physical Science Category" at the University of Maryland, College Park. He is also the recipient of the Ralph R. Teetor Educational Award. In 2011, he was an invited speaker at the National Academy of Sciences "Distinctive Voices" seminar series on the topic of "Robot-Assisted Neurosurgery" at the Beckman Center. He was also invited to attend the National Academy of Engineering's 2011 U.S. Frontiers of Engineering Symposium. He has over 150 publications, is the founding Editor-in-Chief of the Journal of Medical Robotics Research, and Editor-in-Chief of the Encyclopedia of Medical Robotics (currently in preparation). His research interests are primarily in the area of image-guided surgical robotics, rehabilitation robotics, cancer diagnosis at the micro-scale, and rehabilitation robotics. He is a Fellow of the ASME and AIMBE.

Dr. Borodovsky and his group develop machine learning algorithms for computational analysis of biological sequences: DNA, RNA and proteins. Our primary focus is on prediction of protein-coding genes and regulatory sites in genomic DNA. Probabilistic models play an important role in the algorithm framework, given the probabilistic nature of biological sequence evolution.

We strive to innovate in ways that both advance the imaging science and also impact biological and translational research. We are particularly interested in new imaging physics, bottom-up opto-electronic system design, as well as new principles for light propagation, light-matter interaction and image formation in complex biological materials, especially at the single-molecule level. Toward the application end, we have expertise in a wide range of imaging instrumentation and techniques, such as super-resolution, adaptive optics, light-field, miniaturized, light-sheet, computational microscopy and endoscopy.

Dr. Bhasin's laboratory has developed strategies for analysis of transcriptome, epigenome, and proteomics data to perform multi-scale modeling of interaction among different cells molecular level and to identify novel biomarkers. He and his team are currently focusing on developing novel single-cell omics approaches to understand disease heterogeneity and the impact of treatments at single-cell resolution. He is involved in developing approaches for the analysis of multi-dimensional single-cell data by developing innovative approaches for single-cell sparsity, batch correction, annotation, and integration. Using these approaches, his group is working toward understanding: 1. Understanding heterogeneity and relapse mechanisms in pediatric hematological malignancies 2. Understanding heterogeneity and progression in multiple myeloma. 3. Development of molecular diagnostics platforms for cancer diagnosis and prognosis 4. Identification of biomarkers for early detection of pancreatic cancer, glioblastoma, and colon cancer 5. Artificial intelligence-based histopathology and radiology cancer image analysis approaches 6. Single-cell Atlas for Pediatric Cancers Additionally, our group is also developing Biomarkers associated with impaired healing of Diabetic Foot Ulcers using single-cell profiling and deep learning-driven wound image analysis. We are working collaboratively to develop innovative genomics and clinical data-driven drug repurposing approaches.

May Dongmei Wang, Ph.D., is The Wallace H Coulter Distinguished Faculty Fellow, professor of BME, ECE and CSE, Director of Biomedical Big Data Initiative, and Georgia Distinguished Cancer Scholar. She is also Petit Institute Faculty Fellow, Kavli Fellow, Fellow of AIMBE, Fellow of IEEE, and Fellow of IAMBE. She received BEng from Tsinghua University China and MS/PhD from Georgia Institute of Technology (GIT). Dr. Wang’s research and teaching are in Biomedical Big Data and AI-Driven Biomedical Health Informatics and Intelligent Reality (IR) for predictive, personalized, and precision health. She has published over 270 referred journal and conference proceeding articles (13,500+ GS-Citations) and delivered over 280 invited and keynote lectures. Dr. Wang’s research has been supported by NIH, NSF, CDC, GRA, GCC, VA, Children’s Healthcare of Atlanta, Enduring Heart Foundation, Wallace Coulter Foundation, Carol Ann and David Flanagan Foundation, Shriner’s Hospitals, Microsoft Research, HP, UCB, and Amazon.

Dr. Wang chairs IEEE Engineering in Medicine and Biology Society (EMBS) BHI-Technical Community and ACM Special Interest Group in Bioinformatics (SIGBio), and is the Senior Editor of IEEE Journal of Biomedical & Health Informatics (IF=7.02), and Associate Editor for IEEE Transactions on BME, and IEEE Review of BME. She was IEEE EMBS Distinguished Lecturer and PNAS (Proceeding of National Academy of Sciences) Emerging Area Editor. During the past decade, Dr. Wang has been a standing panelist for NIH Study Sections, NSF Smart and Connect Health, and Brain Canada, and has co-chaired and helped organize more than 10 conferences by IEEE Engineering in Medicine and Biologics  Gordon Research Conferences, ACM Special Interest Groups in Bioinformatics, and IEEE Future Directions.

Dr. Wang received GIT Outstanding Faculty Mentor for Undergrad Research Award and Emory University MilliPub Award for a high-impact paper cited over 1,000 times. She was selected into 2022 Georgia Tech LeadingWomen Program and 2021 Georgia Tech Provost Emerging Leaders Program. Previously, she was Carol Ann and David Flanagan Distinguished Faculty Fellow, GIT Biomedical Informatics Program Co-Director in ACTSI, and Bioinformatics and Biocomputing Core Director in NIH/NCI-Sponsored U54 Center for Cancer Nanotechnology Excellence.