Tzofi Klinghoffer is a PhD candidate at the MIT Media Lab, advised by Prof. Ramesh Raskar. He works at the intersection of artificial intelligence, computer vision, and sensing, with expertise in single-photon vision. His research asks how machines can discover new ways to sense the world, through two complementary directions:
- Learning from sensors: what information can measurements reveal? (physics-based learning, sensor foundation models)
- Learning for sensors: what should we measure, and how? (task-driven design, data-driven simulation)
The two directions work as a loop. Learning for sensors proposes candidate sensing systems and predicts what they would measure. Learning from sensors interprets those measurements and scores them on the task, which guides the next design. The aim is to discover new ways of sensing the world, with sensing, perception, and action co-designed around a downstream task.
During his PhD, Tzofi has collaborated with Meta Reality Labs and NVIDIA Research, and was part of the founding team at Code Metal. Previously, he was a software engineer in Alexa AI at Amazon and an AI researcher at MIT Lincoln Laboratory. Tzofi is a DoD NDSEG Fellow, Qualcomm Innovation Fellow, and Draper Scholar. He received his SM from MIT and his BS in Computer Science, summa cum laude, from The University of Alabama.
- Oct 2026MIT CSAIL Visual Computing Seminar: Learning from Sensors, Learning for Sensors
- Oct 2025MIT Media Lab Rising Stars: What If AI Could See Hidden Objects?
- Jun 2024Carnegie Mellon University, Computational Imaging Groups: Seeing Hidden Objects
- May 2024Technion, LIT Lab: Seeing Hidden Objects
- Aug 2023Hyundai Vision Conference: Imaging through Shadows and Reflections
- 2024CVPR Best Paper Award Finalist (PlatoNeRF)
- 2024DoD National Defense Science and Engineering Graduate (NDSEG) Fellowship
- 2023Qualcomm Innovation Fellowship
- 2023Draper Scholar
- 2023NSF Graduate Research Fellowship, Honorable Mention
- 2019DoD SMART Scholarship
- 2016NOAA Ernest F. Hollings Scholarship
- OrganizerWorkshop on Neural Fields Beyond Conventional Cameras (lead organizer), ECCV 2024 and CVPR 2025
- ReviewerCVPR, ICCV, ECCV, NeurIPS, ICML, ICRA, IEEE TPAMI, ACM TOG, IEEE TCI