Namshik Han

Namshik Han is a Fellow at the University of Cambridge, School of Biological Sciences. As a Group Leader at the Milner Therapeutics Institute, Han focuses on therapeutic target discovery across disease, personalised medicine, drug efficacy and safety, drug positioning and repositioning, and biomarker discovery. His research integrates artificial intelligence, computational biology, multi-omics analysis, network analysis, natural language processing, and text mining. Han aims to develop new AI approaches and provide partner pharma/biotech companies with access to cutting-edge computational technology to identify new or better therapies through the analysis of biomedical big data.

Namshik Han is a computational biologist specializing in machine learning and drug discovery. Their research focuses on understanding biological processes through computational models, with applications in disease mechanisms and therapeutic development. Han's work explores how genetic and epigenetic factors influence cellular behavior, particularly in cancer and inflammatory diseases. By integrating machine learning with biological data, Han identifies novel targets for drug repurposing and therapeutic intervention. Key areas include the role of non-coding RNAs, chromatin regulation, and the impact of epigenetic modifications on gene expression. Their research also addresses challenges in vaccine development and drug-induced liver injury, leveraging AI to enhance biomedical discovery.