Dr. Davis is a Professor of Biochemistry at Stanford University, and director of the Stanford Genome Technology Center. Dr. Davis is a leader in the movement to increase awareness and funding for CFS, due to his personal experience as a parent and caregiver of a son with a severe form of CFS. He knows first hand about the difficulty navigating the medical industry for treatment options and care, and he also knows the challenges from a researcher's perspective of getting access to patient samples and funding.
I've been deconstructing symptoms and modeling diseases at the Stanford Genome Technology Center since 2012, and developing DNA-based microbial diagnostics tools before that. My background is in environmental engineering and the study of microbial ecosystem dynamics- so I'm very comfortable looking at human health with a "systems" approach.
The biggest barrier that every researcher faces is getting access to comprehensive patient data. When our team saw the results of metabolomics testing from a handful of fatigue patients, the insights were incredible. The technology is still young, and there is a lot of work to do before it can be routinely applied in the clinic. That's why we created Genius-- to give patients access to these new technologies and to provide a platform for researchers to explore and test their innovative ideas.
I have spent most of my adult life building, calibrating, deploying and using quantitative models. I have several granted patents, and I have led teams who built mathematical systems.
I believe that medical diagnostics which show patient outcome relative to an arbitrarily selected peer group are inadequate. Instead, diagnostics which capture and model the component metabolic sub-systems leading to a patient outcome are more revealing. Such an approach treats the patient as a cohesive system by itself, focusing the medical remedy on the source of systemic imbalance.
For such an approach to be successful, one must build not just one statistical model, but a platform of carefully calibrated and synchronized sub-models reflecting the dynamic system at play. This is the direction in which I am leading the algorithmic and infrastructure development of Genius Diagnostics.