Resume

Downloadable resume and brief professional summary.

I am a computational physicist and scientific machine learning researcher specializing in high-performance multi-physics simulation, energetic materials, shock physics, and physics-aware deep learning.

My work spans solver development, microstructure-resolved DNS, HPC production campaigns, and simulation-grounded ML evaluation for energetic-material response under extreme loading.

Download Resume Publications

NoneCurrent Focus

• Shock-to-detonation simulation
• Energetic-material microstructures
• Physics-aware surrogate modeling
• HPC-scale DNS and validation
• Scientific AI workflows

Highlights

• 7 peer-reviewed journal papers across Shock Waves, Journal of Applied Physics, Journal of Fluid Mechanics, and APL Machine Learning.
• Production HPC campaigns resolving sub-micron damage features at 140M-cell, 7,000-core, ~2.8M CPU-hour scale.
• Multi-institution research interfaces across AFOSR-MURI, ONR-MURI, UIUC, LANL, UVA, IIT Delhi, and IIT Madras collaborations.
• Mentoring of 2 PhD students on simulation methodology, HPC workflows, and SCIMITAR3D adoption.