Bronte-Stewart Memorial Lecture
On behalf of Professor Anna Dominiczak, Vice-Principal and Head of College - MVLS:
You are warmly invited to attend the Bronte-Stewart Memorial Lecture, which will be given by:
Professor Mika Ala-Korpela, Professor of Computational Medicine at the University of Oulu, Finland, and the MRC Integrative Epidemiology Unit, University of Bristol
- Title: "Cost-effective quantitative serum metabolomics in large scale epidemiology"
- When: Thursday 26th November, 1 - 2pm
- Venue: Yudowitz Lecture Theatre, Wolfson Medical School Building
A sandwich lunch will be available in the Atrium of the Wolfson Medical School Building from 12.30pm.
Please register via the Eventbrite booking site.
About Prof Ala-Korpela:
Dr Mika Ala-Korpela is a Professor of Computational Medicine at the Medical Faculty, University of Oulu, Finland (http://www.computationalmedicine.fi/), and at the School of Social and Community Medicine, University of Bristol. He is one of the senior staff at the UK Medical Research Council Integrative Epidemiology Unit at the University of Bristol (http://www.bristol.ac.uk/integrative-epidemiology/about/).
His research focuses on lipoprotein and lipid metabolism, development and applications of multivariate data analysis methods for metabolic phenotyping and risk assessment, and the utilisation of various ‘omics technologies in clinical and systems epidemiology to study the aetiology of metabolic diseases. He has published around 150 articles in international peer-reviewed journals. Professor Ala-Korpela has more than two decades of experience in biomedical nuclear magnetic resonance (NMR) spectroscopy and has pioneered high-throughput applications of NMR-based metabolomics in molecular epidemiology and functional genetics. He is one of the founders of Brainshake Ltd., a company offering NMR-based metabolic profiling (www.brainshake.fi).
During the last ten years Professor Ala-Korpela's Computational Medicine Research Team has focused on developing an NMR-based quantitative high-throughput metabolomics platform for human serum and plasma. This novel methodology has now been used to analyse almost 350,000 samples worldwide. The methodology provides information on around 250 metabolic measures with clear biochemical interpretation and significance. This platform has recently been applied in various large-scale epidemiological and genetic studies, the results of which have been published in the leading scientific journals. Several new NMR laboratories are currently being set up to apply the aforesaid metabolomics platform in large-scale epidemiology and systems medicine; more and up-to-date information at www.computationalmedicine.fi
First published: 17 November 2015