Dr Matiss Ozols
Research Associate
Overview
Passionate about data science, machine learning, artificial inteligence, proteomics, genomics and its applications to ageing disease and drug discovery.
Apply bioinformatics, computational biology, data science, medical engineering and proteomics methods to understand the underlying processes of ageing and disease and to predict novel peptide drugs.
Areas of expertise
- QA76 Computer software - Software Development, Bioinformatics, Web Development, Data Science, machine learning, Data Visualisation
- QH301 Biology - Dermatology
- QD Chemistry - Protein Biochemistry
Research Networks and Beacons
Biology, Medicine and Health (BMH) Domains
Keywords
- Bioinformatics, Machine Learning, Dermatology, Artificial Inteligence, Proteomics, Biomedical Engineering
Education / academic qualifications
- 2014 - Bachelor of Engineering, Medical Engineering, University of Bradford
Related information
Publications
Research output: Contribution to journal › Article
Research output: Contribution to journal › Comment/debate
Research output: Contribution to journal › Review article