Attended the 248th ECS Meeting in Chicago, IL and presented our work on modeling redox potential of iron complexes using graph neural networks.

Completed the two weeks long intensive training on computer science, parallel computing, extreme-scaling techniques - funded by the US DOE.

Received LDRD seed funding ($50k) to develop visual language models to analyze cyclic voltammetry figures from scientific literature.

Fakhrul joined the Computational Science division at Argonne National Lab as a postdoctoral researcher.

Fakhrul completed his PhD in mechanical engineering from UC Merced.

Fakhrul successfully defended his PhD thesis!