Amina Ann Qutub, Ph.D.
Amina pioneers methods at the interface of computer science, biology and engineering to study the design of human cells, and help eradicate diseases affecting cells of the brain and vasculature.
Amina is the Burzik Professor of Engineering Design and Associate Professor of Biomedical Engineering at the University of Texas, San Antonio (UTSA). She serves as a research thrust lead of the Artificial Intelligence MATRIX Consortium for human well-being and Director of the UTSA – UT Health Medical School Graduate Group in Biomedical Engineering. Bridging basic science to translational impact, she directs the Quantu Project, a nationwide study to optimize brain health over a lifespan using an integration of biosensing technology, artificial intelligence and experimental neurogenesis bioassays. Amina also serves as the computational lead for the international Leukemia Protein Atlases, a clinical and engineering collaboration to identify new therapeutic targets for pediatric and adult leukemias. Amina received her PhD in Bioengineering from Berkeley and UCSF, with a major in mathematical modeling and minor in neurology. She completed her postdoc as a National Institute of Health NRSA fellow in Biomedical Engineering at Johns Hopkins University, School of Medicine. Amina is an American Institute for Medical and Biological Engineering Fellow, National Academies Keck Future Initiatives Awardee and National Science Foundation CAREER Awardee. She also is a co-founder of a data visualization startup, and frequent keynote speaker in precision health and medicine industry and academic events including The Health Cell State of the Industry and TEDx talks.
Witnessing how neurological conditions have altered the lives of family, friends, patients and research volunteers, Amina is motivated to develop cutting-edge computational and experimental methods to rapidly advance therapeutic discovery for disorders affecting the brain. She also is a strong advocate for open access to neurotechnology innovations, data and designs that augment human sensing and enable a more equitable world.
