Dr. Davis holds positions as a Professor in both Cardiology and Biomedical Engineering at the Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech and Emory University. Additionally, he serves as an associate chair for graduate studies at BME department, and a director of the Children's Heart Research and Outcomes (HeRO) Center. He received his Ph.D. in Molecular and Systems Pharmacology at Emory University in 2003 working on molecular regulation of eNOS expression by shear stress. From 2003-2006, he completed his postdoctoral fellowship at Brigham and Women's Hospital working on cardiac tissue engineering with collaborators at the Massachusetts Institute of Technology. He moved back to Emory in 2006 to join the faculty in Division of Cardiology and Biomedical Engineering Department.

Dr. Rafael Davalos' research interests are in microfluidics for personalized medicine and developing technologies for cancer therapy. He is most recognized for co-inventing Irreversible Electroporation (IRE), a minimally invasive non-thermal surgical technique to treat unresectable tumors near critical structures such as major blood vessels and nerves. The technology has been used to help thousands of patients worldwide with a second-generation version in clinical trials. Davalos has authored 150 peer-reviewed articles and has 47 issued patents (72 h-index, >18,000 citations) and has secured over $37M in research funding with $10M his share. His patents have been licensed to 7 companies. He has been a plenary speaker for several prestigious venues including the International Symposium of the Bioelectrochemistry Society, the World Congress on Electroporation, and the Society of Cryobiology Annual Meeting. 

Lakshmi Prasad Dasi is an established researcher in the field of prosthetic heart valves, cardiovascular biomechanics, biomaterials, and devices. He is currently a tenure Professor of Biomedical Engineering, at Georgia Institute of Technology while holding the Rozelle Vanda Wesley Endowed Professorship as well as being the Associate Chair for Undergraduate Studies. He has held positions at The Ohio State University, and Colorado State University previously. He is a Fellow of the American College of Cardiology (FACC) as well as Fellow of the American Institute for Medical and Biological Engineering (FAIMBE). 

Dasi earned his Ph.D. from Georgia Institute of Technology in 2004 with a focus in fluid dynamics and turbulence. He trained as a postdoctoral fellow and research engineer under Prof. Ajit Yoganathan’s mentorship at Georgia Tech where he transformed his research focus to heart valves, devices, and cardiovascular biomechanics. In 2009, he established the Cardiovascular Biofluid Mechanics Lab (CBFL) as Assistant Professor at Colorado State University and moved to The Ohio State University in 2015 as his focus became more translational. Since 2020, his research at Georgia Tech focuses on tackling the complexity of: (a) heart valve biomechanics (native and prosthetic); (b) prosthetic heart valve engineering (conventional & trans-catheter); (c) structure-function relationships of the heart in health and disease at the embryonic, pediatric, as well as adult stages; and (d) turbulence and turbulent blood flow.

James Dahlman is a bioengineer / molecular engineer whose work lies at the interface of chemistry, nanotechnology, genomics, and gene editing. His lab focuses on targeted drug delivery, in vivo gene editing, Cas9 therapies, siRNA therapies, and developing new technologies to improve biomaterial design. 

The DahlmanLab is known for applying 'big data' technologies to nanomedicine. The lab is pioneering DNA barcoded nanoparticles; using DNA barcodes, >200 nanoparticles can be analyzed simultaneously in vivo. These nanoparticles are studied directly in vivo, and used to deliver targeted therapies like siRNA, mRNA, or Cas9. As a result of this work, James was named 1 of the 35 most innovative people under the age of 35 by MIT Technnology Review in 2018. James has won many national / international awards, and has published in Science, Nature Nanotechnology, Nature Biotechnology, Nature Cell Biology, Cell, Science Translational Medicine, PNAS, JACS, ACS Nano, Nano Letters, and other journals. James has also designed nanoparticles that efficiently deliver RNAs to the lung and heart. These nanoparticles can deliver 5 siRNAs at once in vivo, and are under consideration for clinical development. As a result, the lab has an interest in immunology and vascular biology. 

James supports entirely new research students come up with independently. To this end, DahlmanLab students learn how to (i) generate new ideas, (ii) select the good ones, and (iii) efficiently test whether the good ideas will actually work. 

Dahlman Lab students learn how to design/characterize/administer nanoparticles, how to isolate different cell types in vivo, how to rationally design DNA to record information, Cas9 therapies, and deep sequencing. As a result, the lab is an interdisciplinary group with students that have backgrounds in medicinal chemistry, BME, bioinformatics, biochemistry, and other fields. The lab welcomes students with all types of scientific backgrounds. The lab firmly stands by students, independent of their personal beliefs, preferences, or backgrounds.

Hee Cheol Cho is the Urowsky-Sahr Scholar in Pediatric Bioengineering and Associate Professor in the Department of Biomedical Engineering and Pediatrics. He received his PhD in Physiology from the University of Toronto in 2003.

Dr. Leslie Chan is an Assistant Professor in the Wallace H. Coulter Department of Biomedical Engineering at the Georgia Tech School of Engineering and Emory School of Medicine. Her research program integrates core and emerging principles from drug delivery, biomaterials development, and chemical biology to engineer diagnostic and therapeutic solutions for infectious disease, microbiome dysbiosis, and inflammatory diseases. Dr. Chan earned her B.S. in Biomedical Engineering from Georgia Tech and her Ph.D. in Bioengineering from the University of Washington with Professor Suzie Pun. She completed her postdoctoral training at Massachusetts Institute of Technology with Professor Sangeeta Bhatia. Dr. Chan is the recipient of an NIH K99/R00 Pathway to Independence Award.

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.

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.