Computer Science Roundhouse Public Lecture: Professor Mark Daley
Concussion, Convergence, Computation and the Clinic: What does a computer scientist know about getting hit in the head?
A Computer Science Roundhouse Public Lecture, given by:
Professor Mark Daley, Associate Vice-President (Research) at The University of Western Ontario
Traumatic brain injury (TBI) directly impacts the lives of millions of people worldwide every year. In spite of these significant human, and economic, tolls, the physiological mechanisms of TBI remain obscure and our diagnostic criteria rely heavily on subjective symptom reporting. Attempts to better understand TBI using siloed, within-discipline, approaches have yielded only modest results. The secret to understanding TBI may only be discovered with fundamentally new approaches to science.
The 2011 manifesto "Convergence: The Future of Health", authored by Jacks, Hockfield, and Sharp laid out a bold new vision for deeply integrated research that transcends simple transdisciplinarity. I will open the lecture with a brief outline of this vision, and why I think it is critical to the future of the global research endeavour.
The remainder of the lecture will describe my experiences, and contributions, as a computer scientist working as part of a TBI-focussed convergence science team including critical care and sports medicine physicians, microbiologists, cell biologists, neuroscientists, medical imagers, biomechanical engineers, surgeons, statisticians, physiologists and neurologists. I will focus on our recent discovery of an accurate metabolomics-based blood test for concussion, and novel neuroimaging results that help paint a clearer picture of the what happens in the concussed brain.
Mark Daley is the Associate Vice-President (Research) at The University of Western Ontario and a professor in the Computer Science, Biology, and Statistics & Actuarial Science Departments. Mark is also a Principal investigator at the Brain and Mind Institute, holds a SHARCNET Research Chair in biocomputing and is the chairman of the board of directors of Compute Ontario.
Mark is a mathematician and theoretical computer scientist by training and spent his early career contributing to both the theoretical foundations of computing and to the formal mathematical modelling of biological processes. In 2011, Mark took an education leave to pursue a master’s degree in neuroscience and has since expanded his research endeavours to include data-driven mathematical modelling in neuroimaging and computational physiology.
In 2013, Mark was chosen as one of the inaugural University of Toronto Science Leadership Fellows and is very active in public science policy and the management and governance of high-performance computing in Canada.