Tzofi is a PhD student studying computer vision and machine learning at MIT Media Lab, where he is advised by Prof Ramesh Raskar.
His interests lie broadly in the intersection of 3D computer vision and computational imaging. Topics of interest include:
- How do we simulate the world from data (neural fields, world models, etc)?
- How do we use AI to extract scene information with different sensors (RGB, single-photon lidars, radar, x-ray, etc)?
- How do we use simulation (1) and sensing (2) to train embodied agents to act in the world?
Previously, Tzofi was a software engineer in the Alexa AI group at Amazon, and, before that, an AI researcher at MIT Lincoln Laboratory, where he focused on unsupervised representation learning. Since starting his PhD, Tzofi has collaborated extensively with NVIDIA, Meta Reality Labs, Scale AI, and Code Metal AI, where he was part of the founding team.
Tzofi is also a DoD NDSEG Fellow, 2023 Qualcomm Innovation Fellow, and Draper Scholar.
He received his Master of Science from MIT and Bachelor of Science in Computer Science from The University of Alabama, where he worked with Prof Travis Atkison. Before starting his PhD, he worked with Prof Polina Golland at MIT CSAIL on automated understanding of chest x-ray images and Prof Jeff Huang at Brown University on WebGazer.
Website template adapted from Daniel Ritchie.