Daeyoung Lee

UCL Medical Student | Computational Biology & AI driven Drug Discovery

United Kingdom

About

Medical student at University College London with a growing focus on the intersection of medicine, artificial intelligence, and drug discovery. Alongside medical training, building a foundation in computational methods to understand how large biological datasets can be used to accelerate therapeutic discovery. My particular interest is in utilising Computational Biology, Multi-omics Analysis, Quantum algorithms and AI to help simulate bio-molecular interactions, discover drug targets, and improve the efficiency of early stage drug development. I am currently developing technical skills in mathematics, data science and machine learning while exploring how these tools can be applied within biomedical research and pharmaceutical innovation. Long term goal is to contribute to AI-driven approaches in drug discovery and translational medicine, bridging clinical understanding with computational methods to support the development of new therapies.

Experience

  • Research Data Assistant at UCL Queen Square Institute of Neurology
    Jan 2026 - Jun 2026 · 6 mos

  • Sales Consultant (Dermatology Clinic) at meclinic
    Oct 2023 - Dec 2023 · 3 mos