Summary
Dibyendu Seal is an Assistant Professor and computational biology researcher with over a decade of experience bridging academia and industry to build robust ML/DL solutions for multi-omics integration, gene network analysis, and disease characterization. He holds a PhD in Computer Science from the University of Calcutta and has applied deep learning to both biomedical NGS data and computer vision, as well as experimenting with generative AI for text summarization and QA. His career spans research positions at DKFZ/KiTZ and faculty roles across multiple Indian universities, plus industry experience as a data scientist and systems engineer, reflecting fluency in both theory and production. An experienced educator, he has supervised undergraduate and postgraduate dissertations and authored peer-reviewed articles and book chapters. Colleagues describe him as a researcher who learns iteratively—captured wryly on his GitHub as “Trying to learn from my mistakes”—which complements his methodical approach to feature selection, visualization, and translational bioinformatics.
7 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science and Engineering, Doctor of Philosophy - PhD, Computer Science and Engineering at University of Calcutta
English, Bengali, Hindi