Matthew Russell
Research Fellow at Future Biomanufacturing Research Hub- Claim this Profile
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Bio
Credentials
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Fellow of the Higher Education Acadamy
The Higher Education AcadamyOct, 2014- Nov, 2024
Experience
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Future Biomanufacturing Research Hub
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United Kingdom
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Biotechnology Research
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1 - 100 Employee
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Research Fellow
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Oct 2019 - Present
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The University of Manchester
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United Kingdom
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Higher Education
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700 & Above Employee
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Research Associate
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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.
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Research Associate
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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.
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LGC Standards
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United Kingdom
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Chemical Manufacturing
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200 - 300 Employee
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Researcher
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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.
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University of Cambridge
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United Kingdom
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Research Services
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700 & Above Employee
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PhD student
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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.
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Sanofi
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France
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Pharmaceutical Manufacturing
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700 & Above Employee
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Industrial Placement Student
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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.
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Education
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University of Cambridge
PhD, Quantitative Proteomics -
University of St Andrews
MChem, Chemistry