About Me

I'm a second-year PhD student at MIT, advised by Phillip Isola. I am supported by the NSF Graduate Research Fellowship, and previously by the MIT HDTV Grand Alliance Fellowship. I am broadly interested in generative models, representation learning, and generalization, particularly in computer vision. Lately I've been working on datapoint selection, and using generative models as data sources for benchmarking & representation learning.

Previously I got my bachelors in Computer Science and in Mathematics at MIT, working at the MIT Center for Brains, Minds, and Machines with Pawan Sinha and Xavier Boix. In the past I've also been fortunate to intern at DeepMind (large language models), D. E. Shaw (reinforcement learning research), Apple (applied machine learning), and Two Sigma (software engineering). In my free time I enjoy hiking, writing, and running.

Research

	DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data Stephanie Fu*, Netanel Tamir*, Shobhita Sundaram*, Lucy Chai, Richard Zhang, Tali Dekel, Phillip Isola. NeurIPS (spotlight), 2023. Paper / Website / Code
	Recurrent connections facilitate symmetry perception in deep networks Shobhita Sundaram*, Darius Sinha*, Matthew Groth, Tomotake Sasaki, Xavier Boix Scientific Reports, 2022. ICLR Generalization Beyond the Training Distribution in Brains and Machines Workshop, 2021. Paper / Poster / Code
	GAN-based Data Augmentation for Chest X-ray Classification Shobhita Sundaram*, Neha Hulkund* KDD Applied Data Science for Healthcare Workshop, 2021 Paper
	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, 2021 Paper / Code

Projects

	Facilitating Fairness in Transfer Learning through Distributionally Robust Finetuning Final project for 6.864: Natural Language Processing, 2021
	Extension of a Bayesian Hierarchical Model for Moral Judgments Final project for 6.804: Computational Cognitive Science, 2020
	Computational Reading of Gender in Novels (1770-1922) Research conducted in the MIT Digital Humanities Lab, 2018 Read about our findings in Ms. Magazine

Writing

MIT Science Policy Review, Associate Editor

MIT Chroma: "Rebuilding Despite the Risks"