Neehar Peri is a third-year Robotics Ph.D. student at Carnegie Mellon University, advised by Deva Ramanan. He is broadly interested in computer vision and machine learning, with applications to robot perception and action. His work focuses on building robust 3D perception algorithms for detection, tracking, forecasting, planning, and simulation. He graduated from the University of Maryland in 2021 with a Bachelor’s degree in Computer Engineering. He was awarded the Sujan Guha Memorial best senior thesis, and was recognized as a Maryland Undergraduate Researcher of the Year. His work is supported in part by a NSF Graduate Research Fellowship. He is currently a research intern at the NVIDIA Dynamic Vision and Learning (DVL) group.