Hello everyone! I am a doctoral student at the Seminar for Applied Mathematics, ETH Zürich. I am part of the Computational and Applied Mathematics Laboratory (CAMLab) where I dabble around in these research topics:

• Statistical Solutions to the Incompressible Euler Equations for Wall-Bounded Turbulence
• Uncertainty Quantification using PDE Foundation Models and Neural Operators

Education and Research

Doctor of Sciences (Dr. sc.) in Applied Mathematics — in progress
Advisor: Prof. Siddhartha Mishra · Seminar for Applied Mathematics · CAMLAB

Research Intern

B.E. Chemical Engineering — Graduated with highest rank in the department

Milestones

• NeurIPS Paper 2025
• Attended OpenLB Workshop in Marseille, France
• New Paper in Process Safety and Environmental Protection - Predicting Nickel Catalyst Deactivation in Biogas Steam and Dry Reforming for Hydrogen Production Using Machine Learning (16 September 2024)
• Paper on modeling hemodynamics using PINNs selected as the Cover Article of Nexus Volume 1, Issue 2 (19 June 2024)

• New Paper in Nexus - Transfer learning on physics-informed neural networks for tracking the hemodynamics in the evolving false lumen of dissected aorta (23 May 2024)
• Joined ETH Zürich as a Graduate Student (17 September 2023)
• Completed B.E. Chemical Engineering degree at BITS Pilani with highest rank in the department (31 July 2023)
• New Paper in IWBF 2023 - CP-Net: Multi-Scale Core Point Localization in Fingerprints Using Hourglass Network (19 April 2023)