Dr. Michael A. Schmidt is among those leading the advancement of precision medicine in human spaceflight, including Lunar, Mars, suborbital, low Earth orbit, and deep space exploration.
His clinical and research work is focused on a systems biology approach to complex problems of human performance in extreme environments. He applies these same complexity models derived from spaceflight countermeasure development to predictive analytics and precision medicine (personalized medicine) initiatives on Earth. These efforts involve multi-scale analytics derived from genomics, epigenomics, transcriptomics, proteomics, metabolomics, and microbiomics, which includes early involvement in the NASA Twins Study and its post-mission analytics (translation of Twins data to clinical methods).
Dr. Schmidt has three decades of experience working with elite performers in extreme environments, which includes leading the molecular profiling and countermeasure efforts for humans ranging from NFL, to NBA, Olympic athletes, cycling, motor sports (Le Mans, NASCAR), wilderness medicine, S.W.A.T., high altitude ascent, and military Special Forces (including collaborations with the Mayo Clinic, West Point, NASA, and others). Dr. Schmidt also led the initiative resulting in the selection of Sovaris Aerospace as a member of the FAA Center of Excellence for Commercial Space Transportation.
Dr. Schmidt did his doctoral (Ph.D.) research in Molecular Medicine and Biochemistry within the Life Sciences Division at NASA Ames Research Center, with extensive work on NASA’s 20G long-radius human centrifuge. He received a second Ph.D. in Neuroscience from Lancaster University, focused on neuroplastic molecular networks, and has done additional studies at the Massachusetts Institute of Technology (data and models; artificial neural networks). Dr. Schmidt also has formal training in conflict resolution, which he has hybridized to facilitate resiliency, team cohesion, and collaborative group dynamics in corporate, medical, athletic, and long-duration mission environments.