All biomedical research is (or will be) computational research - Part two

Bioinformatics has become pivotal in analysing and understanding the diverse data generated in the biomedical sciences, and provides the rigorous framework that allows both the generation of new and testing of pre-stated biological hypotheses. I will illustrate -- using examples from my own research -- how current biomedical research critically depends on integrating scientific and computational approaches from various fields across the natural sciences. As such, Bioinformatics unites and depends on talents and concepts from Physics, Mathematics, Statistics and Computer science, turning modern biomedical research into a quantitative science.


Dr Maurits Evers works as a Bioinformatics research fellow in the Department of Cancer Biology and Therapeutics at the John Curtin School of Medical Research. His background is in theoretical and applied nuclear Physics, and in 2013 he joined the statistical Bioinformatics department of Prof. Rainer Spang at the University of Regensburg in Germany; later he joined Prof Arndt von Haeseler at the Center for Integrative Bioinformatics Vienna in Austria. His main research areas centre around statistical modelling and analysis of biomedical high-throughput data.

Date & time

5.30pm 19 Apr 2017


Room: N101 seminar room


Dr Maurits Evers, Bioinformatics Research Fellow, Cancer Bilogy and Therapeutics, The John Curtin School of Medical Research

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