Postdoctoral Researcher, Argonne National Laboratory
Fakhrul Hasan Bhuiyan is a Postdoctoral Researcher in the Computational Science Division at Argonne National Laboratory, where his work focuses on the intersection of machine learning, atomistic simulations, and high-performance computing. His research involves developing machine-learned interatomic potentials and scalable workflow frameworks for large-scale materials simulations on supercomputers such as ALCF Aurora and Polaris. He is particularly interested in applying AI/ML and agentic AI methods to computational materials and chemistry problems.
