Matthew Betts

Team Leader Computational Biology at Anavo Therapeutics BV

Matthew Betts has a diverse and extensive work experience in the field of computational biology and bioinformatics. Matthew currently holds the position of Senior Computational Biologist at Anavo Therapeutics BV starting from 2022.

Prior to their current role, Matthew Betts worked as a Senior Bioinformatics Scientist (Protein Bioinformatics) at Molecular Health GmbH from 2017 to 2022. In this role, they were involved in research programming, data integration, and analysis for drug development and cancer treatment recommendations.

Before Molecular Health GmbH, Matthew served as a Bioinformatics Research & Support Scientist at the University of Heidelberg from 2010 to 2017. Their responsibilities included predictive analysis of protein mutations and modifications using protein structure and interactions.

From 2005 to 2010, Matthew held the position of Computational Biologist/Staff Scientist at EMBL, where their work focused on research programming and scientific analysis. This position was later continued at Heidelberg Uni.

Matthew Betts also worked as a Postdoc at Computational Biology Unit, University of Bergen from 2003 to 2005. Their research focused on adaptive evolution in chordates.

Matthew started their career as a Research Scientist at deCODE genetics from 2001 to 2003, where they conducted genome-wide searches for genes related to druggable protein families and provided bioinformatics support.

Prior to that, Matthew worked as a Bioinformatics Contractor at Smithkline Beecham in 2000, conducting computational studies on exon structure conservation.

Matthew gained experience as a Research Associate/C Programmer at MRC Laboratory of Molecular Biology from 1998 to 2000. In this role, they worked on the Staden package of DNA shotgun-sequence assembly, editing, and analysis programs.

During their early career, Matthew served as a PHD Student at ICRF from 1994 to 1998. Their research focused on computational analysis and prediction of protein-protein recognition.

Overall, Matthew Betts has a strong background in research programming, data analysis, and bioinformatics, with a focus on protein bioinformatics, computational biology, and genome analysis.

Matthew Betts has a strong education background in the field of bioinformatics and related areas. Matthew obtained a Doctor of Philosophy (PhD) degree in Bioinformatics from Imperial Cancer Research Fund & UCL, completing their studies from 1994 to 1998. Prior to that, they pursued a Master of Science (MSc) degree in Computer Modelling of Molecular and Biological Processes at Birkbeck, University of London from 1993 to 1994. Matthew's undergraduate education includes a Bachelor of Science (BSc) degree in Chemistry from the University of York, which they completed from 1990 to 1993.

Links

Previous companies

EMBL logo
University of Heidelberg logo
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Timeline

  • Team Leader Computational Biology

    May 1, 2024 - present

  • Senior Computational Biologist

    July, 2022