Amirali Aghazadeh is an Assistant Professor in the School of Electrical and Computer Engineering and also program faculty of Machine Learning, Bioinformatics, and Bioengineering Ph.D. programs. He has affiliations with the Institute for Data Engineering and Science (IDEAS) and Institute for Bioengineering and Biosciences. Before joining Georgia Tech, Aghazaeh was a postdoc at Stanford and UC Berkeley and completed his Ph.D. at Rice University.

Shaheen Azim Dewji, Ph.D., (she/her/hers) is an Assistant Professor in the Nuclear & Radiological Engineering and Medical Physics Programs at the Georgia Institute of Technology, where she leads the Radiological Engineering, Detection, and Dosimetry (RED²) research group. Dewji joined Georgia Tech following three years as faculty at Texas A&M University in the Department of Nuclear Engineering, and as a Faculty Fellow of the Center for Nuclear Security Science and Policy Initiatives (NSSPI).

Saurabh Sinha received his Ph.D. in Computer Science from the University of Washington, Seattle, in 2002, and after post-doctoral work at the Rockefeller University with Eric Siggia, he joined the faculty of the University of Illinois, Urbana-Champaign, in 2005, where he held the positions of Founder Professor in Computer Science and Director of Computational Genomics in the Carl R. Woese Institute for Genomic Biology until 2022. He joined Georgia Institute of Technology in 2022, as Wallace H.

Eberhard Voit’s research interests are in the area of complex biomedical systems. Work in his lab focuses on genomic, metabolic, and signaling systems with applications reaching from microbial and plant systems to human diseases. Voit has authored or co-authored about two hundred fifty scientific articles and book chapters as well as several books. Voit is an elected a fellow in the American Institute for Medical and Biological Engineering (AIMBE) and the American Association for the Advancement of Science (AAAS).

Denis Tsygankov, PhD, is Assistant Professor in the Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech School of Engineering and Emory University School of Medicine. 

Dr. Tsygankov is interested in developing and applying computational methods, including mathematical modeling, simulations, and computer vision approaches to understand complex multi-scale physiological processes including vasculogenesis, morphogenesis, and cancer. 

He is a member of the Cell and Molecular Biology Research Program at Winship Cancer Institute.

Felipe trained as a biomedical engineer in his native Colombia before obtaining a PhD from the Biomedical Engineering department of Duke University. At Duke, working in the laboratory of Ashutosh Chilkoti, he focused on the engineering of genetically-encoded, self-assembling protein polymers. An important outcome of this PhD work was the elucidation of sequence rules to program the phase separation behavior of intrinsically disordered proteins (IDPs).

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. 

Ahmet Coskun is a systems biotechnologist and bioengineer, working at the nexus of multiplex imaging and quantitative cell biology.

Dr. Gabe Kwong 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. His research program is conducted at the interface of the life sciences, medicine and engineering where a central focus is understanding how to harness the sophisticated defense mechanisms of immune cells to eradicate disease and provide protective immunity. Kwong has pioneered numerous biomedical technologies and published in leading scientific journals such as Nature Biotechnology and Nature Medicine.

Melissa Lambeth Kemp received her B.S. in Nuclear Engineering from MIT and her Ph.D. in Bioengineering from University of Washington. Dr. Kemp joined the faculty at Georgia Tech in 2006 after completing postdoctoral training at MIT. Her expertise is in computational modeling of metabolism and signal transduction, as well as developing statistical modeling tools to examine network relationships in high-dimension datasets.