Summary
Phani Motamarri is an Assistant Professor at IISc Bangalore specializing in computational science with nine years of research experience building HPC, quantum, and AI-driven methods for materials modeling. He develops hardware-aware, scalable finite-element algorithms for large-scale Kohn-Sham density functional theory and leads development of the open-source DFT-FE code, a massively parallel tool recognized through ACM Gordon Bell Prize nominations. His work bridges multiscale materials modeling, machine learning–accelerated discovery, and novel quantum-computing algorithms, coupling deep theory with production-grade scientific software. Trained with a PhD from the University of Michigan and experience in both academia and industry research, he combines algorithmic rigor with practical performance engineering on emerging architectures. An uncommon strength is his focus on real-space finite-element approaches, which enable adaptive, chemistry-accurate simulations at scales many plane-wave codes cannot efficiently reach.
9 years of coding experience
2 years of employment as a software developer
PhD, Large-scale Kohn-Sham density functional theory calculations using adaptive finite-elements, PhD, Large-scale Kohn-Sham density functional theory calculations using adaptive finite-elements at University of Michigan
ME, Computational algorithms for nonlinear dynamics of elastic solids, ME, Computational algorithms for nonlinear dynamics of elastic solids at Indian Institute of Science
BE, Mechanical Engineering, BE, Mechanical Engineering at National Institute of Technology Karnataka