Dr Faisal Rezwan PhD, FHEA,PGCert in Academic Practice

Dr Faisal Rezwan

Senior Lecturer

Department of Computer Science

Contact Details


Faisal Ibne Rezwan received a Ph.D. degree in Bioinformatics from the University of Hertfordshire (UK) in 2012 and joined the University of Southampton as a research fellow in bioinformatics. Later he joined to Cranfield University (UK) as a lecturer in Bioinformatics. He is currently a Senior Lecturer in Bioinformatics at the Department of Computer Science, Aberystwyth University, UK.

He has over 15 years of experience in bioinformatics and computational methods. His research interest involves in pattern recognition and machine learning for analysing, understanding and improving computational prediction of disease, phenotypes and functions relating to human health. His research also focuses on basic and applied problems in bioinformatics using data integration and data mining to analyse genetic and epigenetic data. He has extensive experience of genome-wide transcriptomic, genetic, and epigenetic analysis and next generation sequencing data analysis. He has track record of developing bioinformatics tools and pipelines, including: GEO import, Single Sample DNA Methylation Data Analysis. He is the author or co-author of more than 50 journal papers.  He was awarded the prestigious Turing fellowship and his research at Turing included a pilot project applying deep learning approach on patient data from Electronic Health Record Systems (EHRS).

He is actively involved in teaching for over 12 years. He is currently acting as the coordinator, lecturer and supervisor in undergraduate modules and projects. He is also co-supervising two doctoral students.  He is a Fellow of Higher Education Academy (FHEA) and has obtained the Postgraduate Certificate in Academic Practice.


Research interests:

  • Bioinformatics
  • Health informatics
  • Data integration 
  • Application of machine learning
  • Epigenetics

Full list of publication can be found at:
ORCID: https://orcid.org/0000-0001-9921-222X
Pubmed: https://pubmed.ncbi.nlm.nih.gov/?term=rezwan+f


van Breugel, M, Fehrmann, RSN, Bügel, M, Rezwan, FI, Holloway, JW, Nawijn, MC, Fontanella, S, Custovic, A & Koppelman, GH 2023, 'Current state and prospects of artificial intelligence in allergy', Allergy, vol. 78, no. 10, pp. 2623-2643. 10.1111/all.15849
Kitaba, NT, Mørkve Knudsen, GT, Johannessen, A, Rezwan, FI, Malinovschi, A, Oudin, A, Benediktsdottir, B, Martino, D, Callejas González, FJ, Palacios Gómez, L, Holm, M, Jõgi, NO, Dharmage, SC, Skulstad, SM, Watkins, SH, Suderman, M, Gómez-Real, F, Schlünssen, V, Svanes, C & Holloway, JW 2023, 'Fathers’ preconception smoking and offspring DNA methylation', Clinical epigenetics, vol. 15, no. 1, 131. 10.1186/s13148-023-01540-7, 10.5258/SOTON/D2566
Kourani, M, Mohareb, F, Rezwan, FI, Anastasiadi, M & Hammond, JP 2022, 'Genetic and Physiological Responses to Heat Stress in Brassica napus', Frontiers in Plant Science, vol. 13, 832147. 10.3389/fpls.2022.832147
Azim, A, Rezwan, FI, Barber, C, Harvey, M, Kurukulaaratchy, RJ, Holloway, JW & Howarth, PH 2022, 'Measurement of Exhaled Volatile Organic Compounds as a Biomarker for Personalised Medicine: Assessment of Short-Term Repeatability in Severe Asthma', Journal of Personalized Medicine, vol. 12, no. 10, 1635. 10.3390/jpm12101635
Kothalawala, DM, Murray, CS, Simpson, A, Custovic, A, Tapper, WJ, Arshad, SH, Holloway, JW, Rezwan, FI & STELAR/UNICORN Investigators 2021, 'Development of childhood asthma prediction models using machine learning approaches', Clinical and Translational Allergy, vol. 11, no. 9, e12076. 10.1002/clt2.12076
More publications on the Research Portal