Hey everyone! I am a graduate student at ETH Zürich pursuing a MSc degree in Computational Science and Engineering (specialization in Fluid Dynamics). I currently work as a Research Assistant at the Computational and Applied Mathematics Laboratory (CAMLAB) at SAM, ETH Zürich. My research interests include:

• High-fidelity Data Generation for AI Foundation Models & Operator Learning
• Numerical methods for Compressible Flows

Prior to graduate school, I completed my Bachelors in Chemical Engineering at BITS Pilani, India and worked as an undergraduate research intern at the Lu Group (previously at University of Pennsylvania).

Milestones

• 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)