We are a team of researchers excited about building algorithms that perceive and understand our world.
Vincent Sitzmann Assistant Professor & Principal Investigator
Vincent is the principal investigator of the Scene Representation Group at MIT CSAIL, where he works as an assistant professor. Previously, he finished his PhD at Stanford University and a postdoc at MIT.
His research interest lies in neural scene representations — the way neural networks learn to represent information on our world.
Ayush Tewari Postdoc
Ayush is a postdoctoral researcher at MIT CSAIL working with Bill Freeman, Josh Tenenbaum, and Vincent. He completed his Ph.D. at the Max Planck Institute for Informatics with Christian Theobalt. He received an Otto Hahn Medal from the Max Planck Society for his PhD. His research develops methods for perceiving and recreating the 3D structure of the visual world from sparse image observations in a self-supervised manner.
Ana Dodik PhD Student
Ana Dodik is a PhD student and Presidential Fellow at MIT CSAIL working on neural representations for geometry processing.
Prior to joining MIT, she spent two years developing next-generation virtual presence at Meta. She graduated with a Master’s degree from ETH Zurich, where she spent a year collaborating with Disney Research Studios on problems at the intersection of machine learning and offline rendering. She also spent time as a research assistant at the Computer Vision and Geometry group at ETH Zurich and as a computer vision intern at Microsoft and Oculus.
Artem Lukoianov PhD Student
Artem Lukoianov is a PhD student at MIT CSAIL working with Prof. Justin Solomon and Vincent. He graduated from the Swiss Federal Institute of Technology in Lausanne with a Master’s degree in Data Science, and from the Moscow Institute of Physics and Technology with an undergraduate degree in applied math. He is interested in Machine Perception and Equivariant Representational Learning.
Boyuan Chen PhD Student
Boyuan Chen is a second-year PhD student working with Vincent and Prof. Russ Tedrake. Before joining MIT, he graduated from UC Berkeley where he researched on deep reinforcement learning and worked at Google X researching visual-language models for robot planning. Boyuan is a full-stack robotic enthusiast who has built many robots himself. He is broadly interested in connecting deep learning with mathematical structures in decision making. In particular, he hopes to bridge 3d computer vision and robotics so intelligent robots can free humanity from tedious tasks.
Cameron Smith Visiting Researcher
Cameron graduated from UCSD for his undergraduate studies in computer science, and is currently working with Vincent and Ayush to develop scalable neural scene representations. He is particularly interested in endowing models with 3D representations for both geometry and motion, with the ultimate goal of building rich backbones for sample-efficient learning of downstream tasks.
David Charatan PhD Student
David is a PhD student at MIT CSAIL, advised by Vincent.
He graduated from Brown University with an undergraduate degree in computer engineering and is currently working at Common Sense Machines in Cambridge.
George Cazenavette PhD Student
George is a first-year PhD student working with Prof. Antonio Torralba and Vincent.
He just finished his Master’s degree at Carnegie Mellon and previously did his undergrad at Louisiana Tech. He is interested in applying generative models to scene representations and neural rendering.
This could be you! PhD student | Postdoc
We are looking for graduate students and postdocs! Please refer to the Join Us section to learn more.