Big data analytics, machine learning, informatics, patient safety and quality, multimorbidity, mhealth, predictive modeling, ICU informatics
Experiences & Accomplishments
Patient Safety, ICU Informatics, Methods for Electronic Medical Record data, Risk prediction, Modeling Health Trajectories, Effects of interventions, Methods for a Learning Health System, Computational sensors, Policy related to evaluation and absorption of predictive models in clinical care.
Honors & Awards
2013 Gordon and Betty Moore foundation award
2011 NSF Computing Innovation Fellowship (20 awarded across all computing and computing-related areas nationally)
2010 Best Student Paper finalist, American Medical Informatics Association (AMIA). Paper titled “Extracting Patient Outcomes from Structured and Free-text data”
2010 Cover Article in Science Translational Medicine. Paper titled “Integration of Early Physiological3Responses Predicts Later Illness Severity in Preterm Infants”
2007 Best Student Paper in Uncertainty in Artificial Intelligence. Paper titled “Reasoning at the Right Time Granularity”
2004-2009 Rambus Corporation fellowship awarded through Stanford University
2002,2003 Won the Microsoft Full Scholarship twice.