About

My passion for physics began with Irodov's problems in high school, leading me to the University of Dhaka. Through independent study and formal coursework, I learned to balance curiosity with discipline. My MS in Physics (3.57 CGPA) culminated in a thesis on electron neutrino scattering using Quantum Field Theory—my first real encounter with computational physics.

Research & Skills

Realizing theory needs computational tools, I pursued a PGD in IT, then AI/ML, followed by an MSc in Computer Science (4.0 CGPA) and an MSc in Applied Mathematics (3.99 CGPA). I've developed expertise in high-performance computing (MPI, OpenMP, CUDA), molecular dynamics simulations, and machine learning. My current research explores protein dynamics using GROMACS and advanced sampling techniques.

PhD Goals

I aim to pursue a PhD in computational biophysics, merging physical models with machine learning to develop new frameworks for studying cellular dynamics. My background in theoretical physics, HPC, and computational science positions me to contribute meaningfully to advancing computational physics research.