Graduate Seminar - 1/16, 12:00PM Duncan Hall 1064

Dr. Craig Rusin

Texas Children's Hospital

"Mathematical Medicine"

Every day, ICU physicians have to make decisions regarding the care of their patients. They rely on raw physiological data recorded form their patients to inform their judgement. But only a small fraction of this data (<0.01%) is utilized for decision making. The rest is simply discarded. By processing these physiological data streams, we can begin to provide physicians with improved disease-specific information, allowing interventions to be applied sooner in the course of a disease, and dramatically improving patient outcomes.

My research focuses on the development of algorithms which can continuously process physiological data streams into novel disease-specific metrics of health and provided these metrics to clinical staff in real time. This field is called real-time clinical decision support. Data processing algorithms can be as simple as a correlation coefficient or as advanced as a set of nonlinear PDEs. However, the information they can provide has the potential to significantly affect the outcome of patients everywhere.

My team and I are looking for graduate students that are interested in helping develop solutions to some of the challenging mathematical problems encountered at Texas Children's Hospital.