Matthew Russell

Research Fellow at Future Biomanufacturing Research Hub
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Contact Information
us****@****om
(386) 825-5501
Location
Manchester, England, United Kingdom, GB

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Credentials

  • Fellow of the Higher Education Acadamy
    The Higher Education Acadamy
    Oct, 2014
    - Nov, 2024

Experience

    • United Kingdom
    • Biotechnology Research
    • 1 - 100 Employee
    • Research Fellow
      • Oct 2019 - Present

    • United Kingdom
    • Higher Education
    • 700 & Above Employee
    • Research Associate
      • Jan 2014 - Oct 2019

      I am funded by CRUK to apply cutting edge proteomics technique SWATH to biomarker discovery, followed up by ELISA assays to validated putative biomarkers.

    • Research Associate
      • Mar 2011 - Jan 2014

      Applioed a proteomics method (QconCAT) to quantify expression of human liver drug transporter proteins by LC-MS. This will enable the activity / abundance relationships of transporter proteins to be established and characterisation of the range of expressions in human populations. Together this information will inform physiologically based pharmacokinetic models enabling in vitro to in vivo extrapolation and prediction of rare adverse events, including drug-drug interactions, in patient populations.

    • United Kingdom
    • Chemical Manufacturing
    • 200 - 300 Employee
    • Researcher
      • Oct 2009 - Mar 2011

      Developed a proteomics method to identify host cell proteins which contaminate cell culture derived biological pharmaceuticals at the ppm level using LC-MS. The work was funded by the National Measurement Office and steered by a consortium of pharmaceutical companies. Developed a proteomics method to identify host cell proteins which contaminate cell culture derived biological pharmaceuticals at the ppm level using LC-MS. The work was funded by the National Measurement Office and steered by a consortium of pharmaceutical companies.

    • United Kingdom
    • Research Services
    • 700 & Above Employee
    • PhD student
      • 2005 - 2009

      Investigated and improved the quality of data and statistical analysis, particularly statistical power and control of false positive rates, for global relative quantitative proteomics in plants using 15N metabolic labelling (PMID:23079070). Funded by a BBSRC Strategic Studentship. Investigated and improved the quality of data and statistical analysis, particularly statistical power and control of false positive rates, for global relative quantitative proteomics in plants using 15N metabolic labelling (PMID:23079070). Funded by a BBSRC Strategic Studentship.

    • France
    • Pharmaceutical Manufacturing
    • 700 & Above Employee
    • Industrial Placement Student
      • 2003 - 2004

      Implemented a metabolomics workflow for LC-MS. Demonstrated capability of method by distinguishing mouse gender from LC-MS of urine. Implemented a metabolomics workflow for LC-MS. Demonstrated capability of method by distinguishing mouse gender from LC-MS of urine.

Education

  • University of Cambridge
    PhD, Quantitative Proteomics
    2005 - 2009
  • University of St Andrews
    MChem, Chemistry
    2000 - 2005

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