Dr. Francisco Robles is currently an adjunct assistant professor in the School of ECE and an assistant professor in the Wallace H. Coulter Department of Biomedical Engineering at the Georgia Institute of Technology and Emory University. He runs the Optical Imaging and Spectroscopy (OIS) Lab which focuses on advancing optical technologies to help improve the understanding of biological processes and the ability to identify and stage disease. The team develops and applies novel label-free linear and nonlinear spectroscopic methods, along with advanced signal processing methods, to gain access to novel forms of functional and molecular contrast for a variety of applications, including cancer detection, tumor margin assessment, and hematology. 

Dr. Robles completed a Postdoctoral Fellowship in the Department of Chemistry at Duke University (2016), earned his Ph.D. in Medical Physics at Duke University (2011), and earned a B.S. in Physics and in Nuclear Engineering from North Carolina State University (2007).

Dr. Lindsey previously developed matrix array transducers, adaptive beamforming strategies, and interventional devices in Stephen Smith’s lab at Duke University, where he received a Ph.D. for his work in 3D transcranial ultrasound.  While at Duke, he was the recipient of a pre-doctoral fellowship from the National Institutes of Health (NIH) as part of the Duke Medical Imaging Training Program.  He also completed postdoctoral training in the labs of Paul Dayton and Xiaoning Jiang at the University of North Carolina and North Carolina State University in contrast-enhanced ultrasound imaging and in the design and fabrication of high frequency, interventional ultrasound transducers.  During this time, he was awarded the Ruth L. Kirschstein National Research Service Award from the NIH to develop endoscopic transducers for contrast-specific imaging in pancreatic cancer.  Dr. Lindsey recently joined the Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech-Emory, where he leads the Ultrasonic Imaging and Instrumentation Laboratory.  Dr. Lindsey is an active member of the IEEE Ultrasonics, Ferroelectrics, and Frequency Control Society, the Biomedical Engineering Society and the American Institute of Ultrasound in Medicine and is a member of the Technical Program Committee for the IEEE International Ultrasonics Symposium.  In 2022, Dr. Lindsey received the New Investigator award from the American Institute of Ultrasound in Medicine. At Georgia Tech, Dr. Lindsey holds a primary appointment in Biomedical Engineering.  He is also a faculty member for the Interdisciplinary Bioengineering Graduate Program and holds an adjunct appointment in the School of Electrical and Computer Engineering. Lab members have received best paper, best poster, and best student pitch awards from the IEEE UFFC Society. Research activities in the lab are currently funded by the National Institutes of Health and the National Science Foundation.

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.

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.

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.

Our interests lie in the adhesion and signaling molecules of the immune system as well as those involved in platelet adhesion and aggregation. We are primarily focused on early cell surface interaction kinetics and their primary signaling responses, as these are critical in determining how a cell will ultimately respond upon contact with another cell. The majority of our work ranges from single molecule interaction studies using atomic force microscopy, molecular dynamics simulations, or biomembrane force probe assays to single cell studies using micropipette adhesions assays, fluorescence imaging techniques, or real-time confocal microscopy. These assays focus on the mechanics and kinetics of receptor-ligand binding and their downstream signaling effects within cells. T cell receptors, selectins, integrins, and their respective ligands are some of the cell surface molecules currently under investigation in our lab. Understanding the initial interaction between molecules such as these and their subsequent early signaling processes is crucial to elucidating the response mechanisms of these physiological systems. Ultimately, our research strives to help better understand the mechanisms within these systems for possible medical applications in autoimmunity, allergy, transplant rejection, and thrombotic disorders.