2019 - 2021
I'm also a first-year Computer Science Master's student at Stanford University, specializing at the intersection of
machine learning and robotics. My research centers around robotic perception and manipulation. In particular, I'm exploring
ways in which robots can self-acquire generalizable representations that are useful and efficient for manipulation.
I'm passionate about teaching and communicating things clearly. I've TA'd one of the largest and most popular deep learning
classes at Stanford, CS 231n: Convolutional Neural Networks for Visual Recognition
As part of an initiative to make the course "compute-free" and accessible to students, I led the development effort
of porting all course assignments to Google Colaboratory (think Jupyter notebook with free GPUs).
2014 - 2018
B.Eng. at the American University of Beirut, in my home country of Lebanon ❤️, majoring in Electrical Engineering.
I completed two internships during my undergrad stint. In the summer of 2017, I was a visiting researcher in
the Khuri-Yakub Ultrasonics Group
at Stanford, developing machine learning
solutions for various applications involving capacitive micromachined ultrasound transducers, also known as CMUTs.
And in 2018, I interned at Nimble AI
where I built the infrastructure for training and deploying various real-time grasping algorithms for suction and parallel-jaw grasping.