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. Coulter Distinguished Chair in Biomedical Engineering, with joint appointments in Biomedical Engineering and Industrial & Systems Engineering. Sinha’s research is in the area of bioinformatics, with a focus on regulatory genomics and systems biology. Sinha is an NSF CAREER award recipient and has been funded by NIH, NSF and USDA. He co-directed an NIH BD2K Center of Excellence and was a thrust lead in the NSF AI Institute at UIUC. He led the educational program of the Mayo Clinic-University of Illinois Alliance, and co-led data science education for the Carle Illinois College of Medicine. Sinha has served as Program co-Chair of the annual RECOMB Regulatory and Systems Genomics conference and served on the Board of Directors for the International Society for Computational Biology (2018-2021). He was a recipient of the University Scholar award of the University of Illinois, and selected as a Fellow of the AIMBE in 2018.

Jennifer S. Singh is Associate Professor of Sociology and Director of Undergraduate Studies in the School of History and Sociology in the Ivan Allen College of Liberal Arts at Georgia Tech. She has a PhD in sociology from the University of California, San Francisco and specializes in medical sociology and science and technology studies. Her research investigates the intersections of genetics, health and society, which draws on her experiences of working in the biotechnology industry in molecular biology and as a public health researcher at the Center for Disease Control and Prevention. Her book, Multiple Autisms: Spectrums of Advocacy and Genomic Science, explores a range of perspectives from scientists, activists, parents, and people living with autism surrounding the rise and implementation of autism genetics research. Her current research investigates structural inequities to autism diagnosis and services based on race, social class and gender. 

Prof. Singh has a joint appointment with the Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech and Emory University.

Prof. Singh started at Cornell University as an Assistant Professor in 2013 and was promoted with tenure to Associate Professor with joint appointments in the Mechanical Engineering and Biomedical Engineering. At Cornell, he served as the Associate Director of the NIH T32 training grant on Immuno-engineering, executive council of the Center for Immunology, and the Cornell (Ithaca) – Weill Cornell Medicine (NYC) Academic Integration initiative. Prior to joining Cornell, he completed his postdoctoral training in cell mechanobiology, cell-matrix interactions, and stem cell engineering at Georgia Tech in Mechanical Engineering.

The central goal of Dr. Singer’s research program is to understand how neural activity produces memories and spurs the brain’s immune system. Dr. Singer’s research integrates innovative behavioral, electrophysiological, and computational methods to identify and restore failures in neural activity that lead to memory impairment. Dr. Singer has established and continues to develop a new therapeutic approach to Alzheimer’s disease, novel forms of non-invasive stimulation, and new ways to manipulate the brain’s immune system. Additionally, using non-invasive approaches, she is translating her discoveries from rodents to develop radically new ways to treat diseases that affect memory in humans.

Physiological and biomechanical mechanisms underlying fine motor skills and their adjustments and adaptations to heightened sympathetic nerve activity, aging or inactivity, space flight or microgravity, neuromuscular fatigue, divided attention, and practice in humans. He uses state-of-the-art techniques in neuroscience, physiology, and biomechanics (e.g., TMS, EEG, fMRI, single motor unit recordings, microneurography, mechanomyography, ultrasound elastography, and exoskeleton robot) in identifying these mechanisms.

Dr. Shi joined Georgia Tech in August 2018 as an assistant professor. Prior, he worked as a graduate student researcher at the Department of Mechanical Engineering of the University of California, Berkeley and Materials Science Division of Lawrence Berkeley National Laboratory focusing on the study of acoustic angular momentum and the design and realization of acoustic metamaterials and high-speed acoustic communication. His Ph.D. dissertation (2018) focuses on the development of acoustic metamaterials and the physics of the angular momentum of sound. Prior to his Ph.D. study at the Department of Mechanical Engineering of the University of California, Berkeley, Dr. Shi completed his M.S. degree in mechanical engineering at the University of Michigan-Shanghai Jiao Tong University Joint Institute in Shanghai, China. His M.S. thesis (2013) focuses on the dynamics and vibration of cyclically symmetric rotating mechanical systems.

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.