Welcome to the Mollah lab. Our lab focuses on development of computational approaches to study functional genomics and address critical challenges in Systems Medicine. We apply network-based models on multi-omics data to understand complex diseases at the systems level. We are particularly interested in exploring the ways in which genomic / proteomic technologies coupled with computational approaches drawn from AI, machine learning, graph theory, linear algebra, and operation research can transform cancer research, leading to new epigenetic insights and revolutionizing clinical practice.
Current Lab at HSpeQ LLC
Former Lab at Washington University in St. Louis
Recent News:
Tina Tang, Mikhail Y Berezin, Benjamin A Garcia, Shamim A Mollah. Deciphering epigenetic influence of curcumin on histone signatures in breast cancer using 3D network. bioRxiv [Preprint]. Nov 2024. doi: 10.1101/2024.11.13.623008. (in Review, Cancer Treatment and Rseasearch Communications)
Hridoy Biswas; Rui Tang; Shamim Mollah; Mikhail Berezin. Wavelet-Based Compression Method for Scale-Preserving SWIR Hyperspectral Data. medRxiv [Preprint]. Jan 2025. doi: 10.1101/2025.01.18.25320781. (in Press, Journal of Medical Imaging)