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.

Satish Kumar is currently an Associate professor in the George W. Woodruff School of Mechanical Engineering at Georgia Tech. He joined Georgia Tech in 2009 as an Assistant Professor. Prior, he worked at IBM Corporation where he was responsible for the thermal management of electronic devices. Kumar received his Ph.D. in Mechanical Engineering and M.S. degree in Electrical and Computer Engineering from Purdue University, West Lafayette in 2007. He received his M.S. degree in Mechanical Engineering from Louisiana State University, Baton Rouge in 2003 and B.Tech. degree in Mechanical Engineering from the Indian Institute of Technology, Guwahati in 2001. His research interests are in electro-thermal transport in carbon nanotube, graphene, and 2D materials based electronic devices, AlGaN/GaN transistors, thermal management, and thermo-electric coolers. He is author or co-author of over 70 journal or conference publications. His contributions to his research field have been recognized by Purdue Research Foundation Fellowship in 2005, 1969 Teaching Fellow from Center for the Enhancement of Teaching and Learning Center at Georgia Tech, 2012 Summer Faculty Fellow from Air Force Research Lab, 2014 Sigma Xi Young Faculty Award, and 2014 DARPA Young Faculty Award.

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.

I am an Assistant Professor in the School of Computational Science and Engineering (CSE), Georgia Institute of Technology since January 2022. I received my PhD from the Department of Computer Science at the University of Illinois Urbana-Champaign, advised by Prof. Jian Peng. Prior to that, I received my bachelor’s degree in Computer Science from Yao Class at Tsinghua University in 2016.

I am broadly interested in computational biology and machine learning, with a focus on developing AI and data science methods to reveals core scientific insights into biology and medicine. Recent interests include deep learning, transfer learning, sequence and graph representation learning, network and system biology, functional genomics, cancer genomics, drug repositioning and discovery, and AI-guided biological design and discovery.

Maegan received her Ph.D. in Mechanical Engineering (ME) from the California Institute of Technology (Caltech) in May 2023. Prior, she also received a M.S. in ME from Caltech in 2019 and a B.S. in ME from Georgia Tech in 2017. After graduating with her Ph.D., Maegan conducted a brief postdoc at Caltech (May–August 2023), followed by a brief research position at Disney Research (September–December 2023). Generally speaking, her research interests lie at the intersection of control theory and human-robot interaction, with specific applications towards lower-limb assistive devices. Much of her research is centered around the question: “What is the right way to walk?”. In her free time, Maegan enjoys puzzles, playing video games, and the piano.

Maegan Tucker joined Georgia Tech as an assistant professor with joint appointments in the School of Electrical & Computer Engineering and the School of Mechanical Engineering in January 2024.

Colton's research interests are in the areas of design and manufacturing, focusing on polymers and polymer composites. Processing techniques, such as micro-molding, injection molding, filament winding, resin transfer molding and the like, are studied and used to fabricate these devices and products, such as smart composite structures.

The design of processing techniques and equipment for metamaterials also are being studied with applications being dielectric materials for electromagnetic applications. Due to the small-scale physics associated with their engineering, nano-scale metamaterials exhibit superior properties and enhanced performance.

Colton has a strong passion for the application of engineering for the common good – "humanitarian design and engineering" and "design that matters," - such as in developing countries and other resource limited environments. To be successful, multidisciplinary teams must work together to produce products that function as well as delight, that exceed customer's expectations, regardless of where the product is used. Along these lines, product design and role that the interactions between engineering and industrial design forms another research interest.