I am an operations researcher with interests 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 for five years, a systems engineer at Johns Hopkins Hospital for three years, 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)