About me:

I’m a first-year computer science student at NYU-Courant. My research interest is in the intersection of Machine Learning and Computer Vision. Specifically, I want to build impact-driven ML models that are generalizable and trustworthy. Before joining NYU, I was a visiting researcher at MIT in the Institute for Data, Systems, and Society (IDSS). Working with professors Munther A. Dahleh and Olivier L. de Weck on solving research questions that involve complex systems and large problem spaces by integrating a variety of techniques from Machine Learning, visualization, and computational modeling.

After finishing my Computer Science degree in 2020, I spent time at Tahakom with Dr. Abdulrahmn Alarifi exploring self-supervised representation learning methods for low-resource languages and utilizing ML explainability techniques to peer into Computer Vision models for road safety and traffic violation detection before deployment.