Summary
Khairul Islam is a computational biologist and PhD candidate at Michigan Technological University with 11 years of experience applying machine learning and scalable bioinformatics pipelines to transcriptomics, scRNA-seq, ChIP-seq and multi-omics problems. He leads DOE, NSF and CDC-funded projects that bridge wet-lab collaborations and clinical data to uncover gene regulatory mechanisms across plant physiology, neurodegeneration, cancer, metabolic and immune disorders. He has authored multiple open-source tools (e.g., TGPred, DyGAF, ML-DL-4GRNs, PredTORpath) that combine attention-based models and network inference for biomarker discovery and pathway analysis. Comfortable in both Python research stacks and Java/Spring development from his GitHub background, he builds production-ready pipelines that emphasize reproducibility and translational impact. Outside the lab heโs an avid cinephile and hiker who experiments with Bangladeshi cuisineโsignals of a pragmatic, curious thinker who balances deep technical focus with broad cultural and strategic interests.
11 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Computational Science and Engineering, Doctor of Philosophy - PhD, Computational Science and Engineering at Michigan Technological University
Bachelor's degree, Information and Communication Technology, Bachelor's degree, Information and Communication Technology at Islamic University