The overall research of the lab focuses on a systems integration approach to musculoskeletal disease and regenerative engineering by applying novel imaging and engineering approaches to mechanistic biology problems. Our current work has three main thrusts: (i) cell and biologic therapies for the healing of large bone and muscle defects, (ii) multi-scale mechanical regulation of bone regeneration, (iii) intra-articular therapeutic delivery for post-traumatic osteoarthritis. Combining backgrounds in mechanical engineering, vascular biology and musculoskeletal tissue regeneration, our research integrates mechanics principles and analytical tools with molecular biology techniques to uniquely address challenges of musculoskeletal disease and regeneration.
Human health has been transformed by our collective capacity to engineer immunity — from the pivotal development of the smallpox vaccine to the curative potential of recent cancer immunotherapies. These examples motivate our research program that is conducted at the interface of Engineering and Immunology, and where we develop biomedical technologies and applications that shape a diverse array of immunological systems.
The questions that are central to our exploration include: How do we begin to study an individual's repertoire of well over one billion immune cells when current technologies only allow us to study a handful of cells at a time? What are the biomarkers of immunological health as the body responds to disease and ageing, and how may these indicators trigger clinical decisions? And how can we genetically rewire immune cells to provide them with entirely new functions to better fight complex diseases such as cancer?
To aid in our studies, we use high-throughput technologies such as next-generation sequencing and quantitative mass spectrometry, and pioneer the development of micro- and nanotechnologies in order to achieve our goals. We focus on clinical problems in cancer, infectious diseases and autoimmunity, and ultimately strive to translate key findings into therapies for patients.
Peng Qiu received his B.S. degree from the University of Science and Technology of China, and a Ph.D. degree from the University of Maryland College Park, both in electrical engineering. After spending three years as a postdoctoral fellow in the Center for Cancer Systems Biology at Stanford, and three years as an assistant professor in the Department of Bioinformatics and Computational Biology at UT MD Anderson Cancer Center, he joined the Department of Biomedical Engineering at the Georgia Institute of Technology and Emory University.
Bioinformatics and computational biology, machine learning, data integration, progression analysis, single-cell analysis, flow cytometry
His main research interests are in the area of bioinformatics and computational biology, focusing on machine learning, visualization, signal processing, systems modeling and network analysis.
We focus on developing and applying label-free linear and nonlinear optical methods, along with advanced signal processing methods, to gain access to novel forms of functional and molecular contrast for a variety of biomedical applications.