I am a PhD student in the EECS department at MIT advised by Aleksander Madry. I am interested in developing the foundations of robust and reliable machine learning systems in order to ensure their safe and responsible deployment in the real world.
Prior to MIT, I spent a couple of amazing years at Microsoft Research as an AI resident then as a research engineer where I worked on robustness in deep learning. Before joining Microsoft, I was an intern at Uber ATG working on 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 Howie Choset and Matthew Travers on multi-agent motion planning, machine learning for tumor search, and deep reinforcement learning for navigation. I also hold a BS in Mathematics and a BE in Mechanical Engineering from the American University of Beirut.
2021 - 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.
Interned in the Biorobotics laboratory at CMU with Howie Choset as part of the Robotics Institute Summer Scholar (RISS) program.
Dec 2014 - Jun 2016
Worked in the Vision and Robotics Laboratory.