Artwork Title: Cilia Particle Interaction [Winner, Arts & Science Competition, ECCOMAS Congress 2024 (Lisbon)]

Computational Researcher | CFD | Scientific Computing | Machine Learning

🌐 Website | LinkedIn | GitHub | Google Scholar

"As soon as we started programming, we found to our surprise that it wasn't as easy to get programs right as we had thought. Debugging had to be discovered. I can remember the exact instant when I realized that a large part of my life from then on was going to be spent in finding mistakes in my own programs." --Maurice Wilkes discovers debugging, 1949

I am a computational researcher specializing in scientific computing, computational fluid dynamics, and machine learning applications in fluid mechanics. My focus is on developing and implementing numerical simulations and computational models to solve complex flow and fluid-structure interaction problems.

• PhD Student, Indian Institute of Technology Delhi (Applied Mechanics)
• Experience teaching advanced fluid mechanics & CFD courses
• Passionate about open-source research, reproducibility, and science communication

• flexFEM: A flexible, extensible finite element solver for fluid-structure interactions.
• ellipseLBM: Lattice Boltzmann Method simulations for ellipsoidal particles in flow.
• ...and more! See my pinned repos and portfolio.

• Languages: Python, Fortran, C/C++, MATLAB
• Tools: OpenFOAM, ANSYS, StarCCM+, FDS, SU2, Git
• Expertise: CFD, Fluid-Structure Interactions, Immersed Boundary Methods, ML for physical systems

• Publications in machine learning for DNS, cilia modeling, and fluid-structure interaction (Google Scholar)
• Conference presentations at ECCOMAS, preCICE Workshop, and more
• Open to research collaborations and interdisciplinary projects

• dpcfd.com | [email protected]

“Remember that all models are wrong; the practical question is how wrong do they have to be to not be useful --George P. E. Box”