Assistant Professor
Baylor College of Medicine
Houston, Texas
Adjunct Assistant Professor
Computational and Applied Mathematics
Rice University
Houston, Texas


BS from Princeton University
Chemical Engineering
PhD from University Of Virginia
Chemical Engineering, Applied Nonlinear Dynamics
Postdoctoral Fellowship at University Of Virginia Medical School
Cardiovascular Medicine

Professional Statement

Each day, in hospitals across the country, patients experience life-threatening events. Their survival often depends on the fast reaction of the experienced care providers who watch constantly over them. But all too often, care staff have very little warning of impending deterioration. By the time overt symptoms appear, the damage has already been done. My research focuses on developing computer algorithms which can be used to constantly watch over patients, and provide early warnings of life-threatening events. This is possible because acute decomposition does not manifest instantaneously. It builds up over a short period of time, changing the physiologic dynamics of the patient in the process. These precursors can be subtle and hard for a human to see, given the level of noise in patient data, but a computer can be trained to detect such patterns. By using technology to anticipate such events in real-time, care can be provided proactively instead of reactively, which has tremendous potential for improving survival in critically ill patients. This represents a fundamental shift in the way that traditional patient monitoring and surveillance has been conducted over the last 50 years.

Selected Publications


Real-Time Predictive Physiological Monitoring for Improving Patient Outcomes after Stage I Palliation
Grant funding from Pediatric Heart Network (PHN) Scholar Award, supported by NHLBI
Development of a novel patient monitoring system for post-operative patients after stage I palliation (S1P) to predict unexpected sudden deterioration and allow for early clinical intervention.