Research

I'm a second year MS student in Machine Learning at Carnegie Mellon University's School of Computer Science, developing scalable neural architectures for scientific computing and partial differential equations. I am currently working on resolution-invariant neural operator architectures and flow-based models for neural PDEs, advised by Prof. Andrej Risteski. My research focuses on developing scalable solutions for partial differential equation solving through adaptive multi-resolution training and conditional flow models with optimal transport.

Previously, I was a Research Assistant in the Department of Electrical and Communication Engineering at the Indian Institute of Science (IISc), advised by Prof. Prathosh A.P., where I focused on integrating geometric symmetries into neural networks. This work explored both discrete and continuous group symmetries, particularly for generative models and physics-based simulations. I also collaborated with Prof. Aditya Gopalan on unified symmetry learning frameworks for discrete groups.

My publications span top-tier venues including AISTATS, NeurIPS, and ICLR with several papers currently under review. You can find my complete publication list here.

Recent News

• Fall 2025: Our work on Multi-Resolution Learning for Resolution Invariance in PDEs submitted to ICLR 2026.
• Spring 2025: Two paper submissions at NeurIPS 2025! Automatic Discovery of One Parameter Subgroups (strong reviews: 5, 4, 4) and Learning Equivariant Functions via Quadratic Forms (under review).
• Fall 2025: Teaching Assistant for Machine Learning in Practice at Carnegie Mellon University.
• Jan 2024: Our paper on A Unified Framework for Discovering Discrete Symmetries is accepted at AISTATS 2024.
• Jan 2023: Our paper on Neural Discovery of Permutation Subgroups is accepted at AISTATS 2023.

I'm always interested in discussing research collaborations and new ideas. Feel free to reach out via email or connect with me on LinkedIn.

See my Research Overview page for more details on my research interests. You can find my latest CV here.