Sanvi Pal

Interests

I am excited to continue exploring / begin exploring the following topics:

Multimodal BCI systems, aligning different input modalities
Multifunctional BCI systems, generalizing to multiple tasks
Accurate generative models for synthetic neural data
Frameworks to extract task-relevant signals from noisy neural data
Modeling brain drift as a stable, learnable trajectory
Any open problem in the BCI field that can be addressed with machine learning!

News

December 2025 Preparing PhD applications, applying to BCI/computational neuroscience labs!
June 2025 Joined Rice BCI Lab under Prof. Nishal Shah! Began independent neural data generator project.
April 2025 Submitted VARS-fUSI to Nature Communications!
June 2024 Joined Andersen Lab and Anandkumar Lab's joint VARS-fUSI project!
May 2024 Appointed to be IHC Advocacy Committee Chair!
October 2023 Joined Yue Lab and Chung Lab's joint EEG decoding project!
June 2023 Joined Burdick Lab's noninvasive therapy for Parkinson's disease project!

Academic Publication(s)

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 Shapiro, Richard Andersen, Anima Anandkumar

Submitted to Nature Communications [paper]

Relevant Media

Generating synthetic neural data via conditional diffusion for broader applicability of BCIs

Sanvi Pal, Siyuan Tao, Joel Burdick, and Nishal Shah

2025 Gee Family SURF Poster Competition Finalist [poster]

Life with a Brain Implant: Interview with clinical trial subject James Johnson

Sanvi Pal, Kelly Kadlec, James Johnson, and Richard Andersen

Published in school newspaper, The California Tech [article]

BCI Projects

Intracortical Array (Spike) Data Project - Rice BCI Lab led by Nishal Shah

Mentored by graduate student Siyuan Tao + Prof. Nishal Shah on a project that uses conditional latent diffusion to predict accurate spikes for augmenting BCI decoders.

ALS Human Subject (T12 from Stanford NPTL) 🧠

Functional ultrasound (fUS) Data Project - Richard Andersen Lab + Anima Anandkumar AI & Science Lab

Mentored by graduate student Lydia Lin + Prof. Bahareh Tolooshams on a project that uses neural operators to acquire doppler images faster or with less computational resources.

Monkey subjects (Rudy is my favorite monkey) 🐒

Electroencephalography (EEG) Data Project - Yisong Yue Lab + Soon-Jo Chung Lab

Mentored by graduate students Geeling Chau + Yujin An on a project that explores if transformer-based architecture TOTEM does a better job at denoising + decoding Motor Imagination EEG Data compared to state-of-the-art decoding pipelines.

Human subjects (including me) 🫠

Contact

The best way to reach me is by email: spal2@caltech.edu.

I’m a life-long learner excited to learn about what interests YOU! Feel free to reach out!