Matiss Ozols

Dr. Matiss Ozols is a Honorary Lecturer (Teaching & Research) in the Division of Cell Matrix Biology & Regenerative Medicine at the University of Manchester and holds a Senior Bioinformatics Data Scientist position at the Wellcome Sanger Institute. His work integrates bioinformatics, software engineering, and data science to address complex biological questions, particularly focusing on single-cell genomic/proteomic data analysis for human genetics insights. He has expertise in programming languages (Python, R, etc.), machine learning, and web development, alongside wet lab techniques like mass spectrometry and cell culture.

Education: Bachelor of Engineering in Medical Engineering (University of Bradford, 2014).

Research Interests: Ozols focuses on proteomics, genomics, and regenerative medicine with an emphasis on ageing and extracellular matrix remodelling. His lab develops computational tools like the Manchester Peptide Location Fingerprinter (MPLF) to analyze protein modifications. Key areas include tetrapeptide matrikines for skin rejuvenation, vascular ageing mechanisms, and AI applications in healthcare diagnostics.

Publications: Recent work spans AI-driven medical imaging (e.g., lung compromise in COVID-19), novel peptide therapeutics for skin health, and systems biology approaches to inflammatory bowel disease. These studies highlight interdisciplinary methods combining computational modeling with experimental biology.

Awards: Received the Best Oral Presentation award in 2019.

Grants & Projects: Co-Investigator in the Manchester Bioelectronics Network (2018), focusing on bioelectronics applications in healthcare. Active in collaborative research networks including Manchester Precision Medicine Institute and Institute for Data Science and AI.

Labs/Teams: Leads bioinformatics initiatives at the Sanger Institute and collaborates with multidisciplinary teams in dermatology, cardiovascular biology, and AI ethics.