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Vincent Sitzmann

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sitzmann@mit.edu

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Assistant Professor at MIT EECS

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Vincent Sitzmann

Faculty Bio

I am an Assistant Professor at MIT EECS, where I am leading the Scene Representation Group. Previously, I did my Ph.D. at Stanford University as well as a Postdoc at MIT CSAIL. My research interest lies in building AI that perceives and models the world the way that humans do. Specifically, I work towards models that can learn to reconstruct a rich state description of their environment, such as reconstructing its 3D structure, materials, semantics, etc. from vision. These models should also be able to model the impact of their own actions on that environment, i.e., learn a "mental simulator" or "world model". I am particularly interested in models that can learn these skills fully self-supervised only from video and by self-directed interaction with the world.

Courses

Digital Business

AI Executive Academy

Upon completion of this course, you will earn an Executive Certificate in Digital Business.

Artificial Intelligence

Digital Business & IT

Organizations & Leadership

Strategy & Innovation

EARN 10.0 EEUs
AI Executive Academy
In Person

STARTING

Mar 23–Apr 3, 2026

LOCATION

Cambridge, MA

DURATION

10 days

COMMITMENT

7–11 hours/day

TUITION

$24,500

STARTING

Mar 23–Apr 3, 2026

LOCATION

Cambridge, MA

DURATION

10 days

COMMITMENT

7–11 hours/day

TUITION

$24,500

Jun 15–26, 2026

Cambridge, MA

10 days

7–11 hours/day

$24,500

STARTING

Jun 15–26, 2026

LOCATION

Cambridge, MA

DURATION

10 days

COMMITMENT

7–11 hours/day

TUITION

$24,500

Sep 21–Oct 2, 2026

Cambridge, MA

10 days

7–11 hours/day

$24,500

STARTING

Sep 21–Oct 2, 2026

LOCATION

Cambridge, MA

DURATION

10 days

COMMITMENT

7–11 hours/day

TUITION

$24,500

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