I am a researcher at OpenAI working on LLMs. I recently got my PhD in Computer Science from MIT where I was advised by Aleksander Madry. My research has been on 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 also hold a Masters in Robotics from the School of Computer Science at Carnegie Mellon University where I was advised by Howie Choset and Matthew Travers. And before that, I got a BS in Mathematics and a BE in Mechanical Engineering from the American University of Beirut.
2021 - 2023
2016 - 2018
2012 - 2016
June 2023 - Present
LLMs
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
Summer 2015
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