I am a research engineer at Microsoft (formerly an AI resident) working on robustness in deep learning. 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. 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.
2016 - 2018
2012 - 2016
September 2018 - Current
Research on safety, security, and robustness in deep learning.
May - August 2018
Worked with the prediction team on machine learning and uncertainty modeling for autonomous driving.
August 2016 - May 2018
Research on ML+Robotics at The Robotics Institute of CMU with Professors Howie Choset and Matthew Travers.
December 2014 - June 2016
Worked in the Vision and Robotics Laboratory.