SAEMF/RAMS Medical Student Research Grant - $2,500 and the recipient of The Ali and Danielle Raja RAMS Medical Student Research Grant Scholarship

"Optimizing Pulmonary Embolism Care Across Resource Settings with Machine Learning"

While multidisciplinary PERTs help address the challenges of variable patient presentations and limited comparative effectiveness data on various treatment modalities, their widespread adoption is unrealistic given the substantial resources required. An ML-based PERT simulation can promote patient health and health equity by informing decisions about inter-hospital transfers to PERT-equipped facilities and by assisting clinicians across resource settings in selecting the optimal individualized treatment approach.

Recipient(s)

  • Sophie Boileau Khorasani

    Sophie Boileau Khorasani

    Harvard Medical School

    "Optimizing Pulmonary Embolism Care Across Resource Settings with Machine Learning"

    Sophie Khorasani is a second-year medical student at Harvard Medical School.

    She earned her bachelor’s degree in statistics from Harvard College, with a secondary field in global health and health policy. Her early research applied statistical and machine learning methods to large-scale Medicare claims data to inform health policy.

    As a medical student, she conducts research at the Center for Vascular Emergencies at Massachusetts General Hospital under the mentorship of Dr. Christopher Kabrhel and Dr. Drew Birrenkott. Her work focuses on developing machine learning models to optimize treatment strategies for pulmonary embolism.

    She brings interdisciplinary experience in statistical methods, machine learning, and health care policy and operations, with prior work at the Harvard T.H. Chan School of Public Health, the Federal Emergency Management Agency, and the Boston Consulting Group.