About Me

 

Welcome to my website!


I am currently 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.

Experience

Research Engineer/AI Resident

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Research on adversarial training and robustness verification of neural networks. 

September 2018 - Current

Software Engineering Intern

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Worked with the prediction team on machine learning and uncertainty modeling for autonomous driving.

May - August 2018

Graduate Research Assistant

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Research at The Robotics Institute at Carnegie Mellon University with Professor Howie Choset and Professor Matt Travers. 

August 2016 - May 2018

Summer Researcher

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Worked in the Biorobotics laboratory at The Robotics Institute with Professor Howie Choset. I was part of the Robotics Institute Summer Scholar (RISS) program during Summer 2015.

Undergraduate Research Assistant

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Worked in the Vision and Robotics Laboratory. December 2014 to June 2016

Education

Carnegie Mellon University

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  • Master of Science in Robotics
  • The Robotics Institute, School of Computer Science
  • Graduated in May 2018

American University of Beirut

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  • Bachelor of Science in Mathematics
  • Bachelor of Engineering  in Mechanical Engineering
  • Graduated in August 2016