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Medical Student
Columbia University, US
I am an MD candidate at Columbia University’s Vagelos College of Physicians and Surgeons interested in pediatric neurosurgery research. Currently, I work as a Clinical Informatics Intern with the Neuro-Spine Research Group, focusing on creating patient risk stratification models for pediatric and adult neurological conditions. This work has involved analyzing complex datasets to better understand surgical risks in conditions like diastematomyelia and cervical spondylotic myelopathy.
Additionally, I have extensive experience leading machine learning projects in the medical field. At the ECMO Research Group, I led the development of AI models to predict outcomes in COVID-19 patients on extracorporeal membrane oxygenation (ECMO), which involved overseeing model architecture, feature selection, and performance optimization. At the Azizi Lab, I utilized machine learning to model immune system responses in graft-versus-host disease to predict clinical outcomes. These diverse experiences, combined with my technical skills in Python, R, and cloud-based platforms like Google BigQuery, enable me to approach neurosurgical research with a multidisciplinary perspective, applying advanced analytics to improve surgical care.