I am an operations researcher leading the learning health system program at Kaiser Permanente Georgia. My research interests are in the design, implementation, and evaluation of new models for patient flow in health systems with a particular focus on quality of care and patient outcomes. Prior to my current work, I was on the Healthcare Systems Engineering team at Massachusetts General Hospital, a systems engineer at Johns Hopkins Hospital, and a senior lecturer in operations research and statistics at the MIT Sloan School of Management. Research-wise, I have been faculty at Harvard Medical School (in anesthesia) and Johns Hopkins University School of Medicine (in emergency medicine, where I was part of the Center for Data Science in Emergency Medicine and the Malone Center for Engineering in Healthcare). I completed my Ph.D. in Operations Research at MIT’s Operations Research Center.
Recent research:
- Automatic phenotyping of emergency department patients with incidental hepatic steatosis: A machine learning clustering analysis (American Journal of Emergency Medicine)
- Development and validation of machine learning models to identify emergency department patients at increased risk of new or progressive acute kidney injury (JACEP Open)
- Early clinical deterioration among emergency department boarders (Annals of Emergency Medicine)
- Measuring the heterogeneous effect of emergency department boarding on inpatient length of stay: Toward efficient and equitable inpatient bed assignment (preprint)
- Head strikes among perioperative personnel in the United States: A mixed methods study (Anesthesiology)
- Improved intrahospital transport time via proximity-based staff assignments (Journal of the American Medical Informatics Association)
- A prescriptive optimization approach to identify minimal barriers to discharge for surgical patients (preprint)
- Variation in duration of emergency department boarding by patient demographics (Western Journal of Emergency Medicine)