Faisal Rezwan

Faisal Rezwan is a Senior Lecturer in Bioinformatics at the Department of Computer Science, Aberystwyth University, UK. He holds a PhD in Bioinformatics from the University of Hertfordshire (2012) and has held prior academic roles at the University of Southampton and Cranfield University. His research focuses on applying machine learning and data integration to analyze genetic and epigenetic data, particularly in the context of human health and disease prediction. He has developed bioinformatics tools for analyzing DNA methylation and genomic data, and his work contributes to UN Sustainable Development Goals related to health and innovation.

Education: PhD in Bioinformatics (University of Hertfordshire, 2012); Postgraduate Certificate in Academic Practice; Fellow of the Higher Education Academy (FHEA).

Research Interests: Bioinformatics, health informatics, machine learning applications, epigenetics, DNA methylation analysis, and computational disease prediction. His work spans bioinformatics tool development, genome-wide transcriptomic studies, and electronic health record systems analysis.

Recent research trends include studies on DNA methylation's role in asthma, birth outcomes, and transgenerational effects of smoking, as well as AI applications in allergy management. His publications span over 50 peer-reviewed articles, with a focus on epigenetic mechanisms and predictive modeling.

Awards: Prestigious Turing Fellowship for research applying deep learning to patient data from electronic health records.

Teaching and Supervision: Coordinator and lecturer in undergraduate modules; co-supervisor of two doctoral students. Active in academic practice with a focus on innovative teaching methods.

Labs/Teams: Part of interdisciplinary teams in bioinformatics, health informatics, and epigenetic research collaborations across multiple institutions.