Abhinav Agarwal

Abhinav is an undergraduate student at Princeton majoring in Mechanical and Aerospace Engineering with certificates in Robotics, Engineering Physics, Applied and Computational Math, and Computer Science. His work at ML4PEARL focuses on dataset generation (writing scripts to collect google street view images over a given city) and computer vision (training PyTorch based neural network to make predictions based on neighborhood images). His other academic interests lie in understanding how machine learning can be used to solve challenging problems like taking safety guarantees in robotics. He particularly enjoys drawing on concepts from classical physics and control theory to explore new ideas.

Abhinav's work is supported by the Council for Science and Technology and highlighted on the Neighborhood Effects project page.