Namshik Han

Chief Technology Officer CardiaTec

Professor Namshik Han is a globally recognized leader in AI-driven drug discovery, serving as Professor of Quantum Information at Yonsei University and Head of AI Research at the Milner Therapeutics Institute, University of Cambridge. His research combines artificial intelligence, quantum computing, computational biology, and multi-omics data to accelerate therapeutic discovery and precision medicine. At Cambridge, he also holds faculty and principal investigator roles across leading biomedical research institutes. Beyond academia, Professor Han is a serial entrepreneur and co-founder of CardiaTec Biosciences, where he helps advance AI-powered cardiovascular drug discovery. His work bridges cutting-edge science, technology innovation, and translational medicine.

Seminars

Wednesday 9th December 2026
Panel Discussion: Evaluating the State-of-Play of AI/ML Applications in Drug Discovery: Is AI Delivering Real ROI in 2026?
9:00 am
  • Understanding the state-of-play of AI/ML and computational methods across in silico drug design and complementary integration to improve quality and timelines of drug discovery workflows
  • Evaluating applications of AI/ML showing promise through experimental validation and dealmaking versus discovery use cases that remain challenging
  • Debating global attitudes and the best approaches to foster global discovery collaborations, highlighting the importance of experimental validation and access to quality data resources
Thursday 10th December 2026
Utilizing AI & Computational Tools for Heightened Multi-Omics Analysis to Inform Disease Mechanisms & Novel Therapeutic Development
9:30 am
  • Blending academic and industry perspectives on the opportunities to elevate AI-driven drug discovery applications through the power of quantum computing
  • Applying state-of-the-art computational modeling to investigate multi-omics human data, leveraging disease mechanism insights to develop novel cardiovascular therapies
  • Laying out experimental validation with in vivo results of cardiovascular candidate developed from computational multi-omics analysis
Namshik Han