Aditi Chandrashekar

Courant Institute, NYU

I am a first-year Ph.D. student in CILVR at NYU Courant, advised by Professors Eero Simoncelli, Kyunghyun Cho, and Rob Fergus. I am grateful for the mentorship of Professors Bahareh Tolooshams, Anima Anandkumar, Soon-Jo Chung, and Katie Bouman during my time at Caltech.

My research focuses on prediction and generative modeling, with an emphasis on physical plausibility. I am motivated by questions at the intersection of AI, neuroscience, and vision.

For more info, please find my CV here.

News

April 2026

I am a recipient of the 2026 NSF Graduate Research Fellowship.

June 2025

I graduated from Caltech!

May 2025

I will be starting my PhD at NYU Courant this Fall!

Publications

EquiReg: Symmetry-driven regularization for physically grounded diffusion-based inverse solvers

Bahareh Tolooshams*, Aditi Chandrashekar*, Rayhan Zirvi*, Abbas Mammadov, Jiachen Yao, Chuwei Wang, and Anima Anandkumar

Building Physically Plausible World Models at ICML 2025 [paper]

VARS-fUSI: Variable Sampling for Fast and Efficient Functional Ultrasound Imaging using Neural Operators

Bahareh Tolooshams, Lydia Lin, Thierri Callier, Jiayun Wang, Sanvi Pal, Aditi Chandrashekar, Claire Rabut, Zongyi Li, Chase Blagden, Sumner Norman, Kamyar Azizzadenesheli, Charles Liu, Mikhail G. Shapiro, Richard A. Andersen, and Anima Anandkumar

Submitted to Nature Communications [paper]

A Unified Model for Compressed Sensing MRI Across Undersampling Patterns

Armeet Singh Jatyani*, Jiayun Wang*, Aditi Chandrashekar, Zihui Wu, Miguel Liu-Schiaffini, Bahareh Tolooshams, Anima Anandkumar

CVPR 2025 [paper]