I am a first-year PhD student at MIT advised by Aleksander Madry. I am broadly interested in deep learning, and my goal is to make it safe, robust, and reliable in the real world. When it comes to applications, I am most excited about computer vision.
Prior to MIT, I spent a couple of amazing years at Microsoft Research as an AI resident then as a research engineer, during which I worked on robustness in deep learning. Before joining Microsoft, I interned at Uber ATG in San Francisco where I worked at the intersection of machine learning and uncertainty modeling for autonomous driving.
I hold a masters in robotics from the School of Computer Science at Carnegie Mellon University. During my masters, I worked with Professors Howie Choset and Matthew Travers on multi-agent motion planning, machine learning for tumor search, and deep reinforcement learning for navigation. In 2016, I obtained a BS in Mathematics and a BE in Mechanical Engineering from the American University of Beirut.
2020 - Current
2016 - 2018
2012 - 2016
Sep 2018 - Jan 2021
Research on safety, security, and robustness in deep learning.
May - Aug 2018
Worked with the prediction team on machine learning and uncertainty modeling for autonomous driving.
Aug 2016 - May 2018
Research on ML+Robotics at The Robotics Institute of CMU with Professors Howie Choset and Matthew Travers.
Dec 2014 - Jun 2016
Worked in the Vision and Robotics Laboratory.