Ruikang Li is a Postgraduate Researcher in the Department of Chemistry at King’s College London, supervised by Dr Micaela Matta. His PhD explores data-driven design of bioinspired organic semiconductors through quantum-chemical calculations, molecular dynamics, and machine-learning frameworks.

He develops high-throughput computational pipelines to study structure–property relationships in π-conjugated polymers, focusing on side-chain engineering and environmental degradability. Ruikang is a member of the Thomas Young Centre and actively contributes to open-source research tool development within the Matta Research Group

Ruikang holds an MSc in Data-Driven Materials Science from University College London (UCL). His research interests span polymer informatics, machine learning, and sustainable electronics.

Research Interests

• Data-driven materials discovery
• Bioinspired and degradable organic semiconductors
• High-throughput molecular modelling and screening
• Machine learning and reaction-network modelling
• Polymer informatics and side-chain engineering

PhD Supervisors

Primary: Dr Micaela Matta

Secondary: Dr Francisco Martin-Martinez 

Ruikang Li is a member of the Matta Research Group in the Department of Chemistry at King’s College London.