About Me

Hi! I'm a senior at MIT studying Computer Science and Mathematics. I am broadly interested in building computer vision systems that perceive the world as humans do, and learn general-purpose representations of the 3D world. Some topics of interest include representation learning, learning from synthetic data, scene understanding, and 3D perception. I have also worked in using insights from neuroscience and cognitive science to build better artificial intelligence systems.

I work at the MIT Center for Brains, Minds, and Machines with Pawan Sinha and Xavier Boix. In the past I've been fortunate to work at D. E. Shaw (reinforcement learning research), Apple (machine learning), and Two Sigma (software engineering). In my free time I enjoy hiking, writing, and running.

In Fall 2022 I will start my PhD at MIT, working with Phillip Isola!


Symmetry perception by deep networks: Inadequacy of feed-forward architectures and improvements with recurrent connections
Shobhita Sundaram*, Darius Sinha*, Matthew Groth, Tomotake Sasaki, Xavier Boix
Under Review

Preprint on arXiv

Poster presentation at the ICLR 2021 Generalization Beyond the Training Distribution in Brains and Machines Workshop

GAN-based Data Augmentation for Chest X-ray Classification
Shobhita Sundaram*, Neha Hulkund*
KDD 2021 Applied Data Science for Healthcare Workshop

Paper on arXiv

Do Neural Networks for Segmentation Understand Insideness?
Kimberly Villalobos*, Vilim Stih*, Amineh Ahmadinejad*, Shobhita Sundaram, Jamell Dozier, Andrew Francl, Frederico Azevedo, Tomotake Sasaki, Xavier Boix
Neural Computation 33, 2511-2549, 2021

Paper available here


Facilitating Fairness in Transfer Learning through Distributionally Robust Finetuning

Final project for 6.864: Natural Language Processing

Extension of a Bayesian Hierarchical Model for Moral Judgments

Final project for 6.804: Computational Cognitive Science

Computational Reading of Gender in Novels (1770-1922)

Research conducted in the MIT Digital Humanities Lab, Fall 2018

Read about our findings in Ms. Magazine


blind-date MIT Science Policy Review, Associate Editor
clean-usnob MIT Chroma: "Rebuilding Despite the Risks"
clean-usnob Book reviews & recommendations