Saurabh Patil

> Status: I am a Senior AI Research Engineer at Graylark Technologies, where I develop cutting-edge AI solutions for complex challenges.

Previously, I was a Research Assistant at Carnegie Mellon University (CMU). My research focused on Scientific Machine Learning (SciML), specifically developing Neural Operators and learning-based methods to accelerate traditional numerical simulations. I hold a Master's degree in Mechanical Engineering from CMU, where I bridged the gap between physics-based modeling and deep learning.

[Email] / [CV] / [Scholar] / [GitHub] / [LinkedIn] / [HuggingFace]
Saurabh Patil

Publications

* denotes equal contribution

CaFA

CaFA: Global Weather Forecasting with Factorized Attention on Sphere

Zijie Li, Anthony Zhou, Saurabh Patil, Amir Barati Farimani

arXiv, 2024

An end-to-end ML weather prediction model based on factorized attention on a sphere.

Paper | Code
L-PDE

Latent neural PDE solver: A reduced-order modeling framework for partial differential equations

Zijie Li*, Saurabh Patil*, Francis Ogoke, et al.

Journal of Computational Physics, 2025

Proposed learning system dynamics in latent space with coarser discretizations.

Paper | Code
Hyena

Hyena Neural Operator for Partial Differential Equations

Saurabh Patil, Zijie Li, Amir Barati Farimani

APL Machine Learning, 2024

A state-space based neural operator with sub-quadratic complexity and global receptive field.

Paper | Code

Academic Projects

Point Clouds

Adversarial Attacks Against Point Clouds

Trustworthy AI Autonomy, 2022

Testing PointNet and DGCNN robustness against FGSM and Saliency map attacks.

Code
Tail Robot

Tail Robot-aeroDIMA

Bioinspired Robot Design, 2022

Comparing maneuverability of wheeled robots with aerodynamic vs. inertial tails.

Video | Poster