I am a research engineer at Microsoft (formerly an AI resident) working on building adversarially robust deep neural networks. I am broadly interested in machine 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.
Research on safety, security, and robustness in deep learning.
September 2018 - Current
Worked with the prediction team on machine learning and uncertainty modeling for autonomous driving.
May - August 2018
Research at The Robotics Institute at Carnegie Mellon University with Professor Howie Choset and Professor Matt Travers.
August 2016 - May 2018
Worked in the Vision and Robotics Laboratory. December 2014 to June 2016