Matthew Robinson
Matthew Robinson is a medical genomics researcher who develops statistical models for large-scale genetic and health data. He earned a PhD at Edinburgh in 2008, held research posts in Sheffield and Queensland, became an assistant professor in Lausanne, and joined ISTA in 2020. His work includes BayesW for genomic prediction of disease onset and 2026 algorithms for analyzing biobank data and genetic effects across generations. As of October 2026, he is a professor and group leader of Medical Genomics at ISTA, and ELLIS lists him as a Scholar.
Timeline
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2008–2013
A PhD and Sheffield fellowship
He earns a PhD at the University of Edinburgh in 2008. From 2009 to 2013, he holds a NERC Junior Research Fellowship at the University of Sheffield.
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2013–2017
Postdoctoral work in Queensland
He works as a postdoc at the University of Queensland from 2013 to 2017.
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2017–2020
Lausanne professorship and grant
He serves as an assistant professor at the University of Lausanne from 2017 to 2020. He receives an SNSF Eccellenza Grant in 2019.
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Since 2020
Medical Genomics at ISTA
He joins ISTA as an assistant professor in 2020 and leads its Medical Genomics group. The group develops statistical models and computational tools for large-scale human medical records to study how genetics and lifestyles shape disease risk.
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2021
BayesW for disease onset
In 2021, he coauthors a Nature Communications paper on BayesW, a Bayesian approach for analyzing age-at-onset phenotypes at biobank scale. The study uses UK Biobank data to examine high blood pressure, cardiac disease, and type 2 diabetes, and tests genomic prediction in the Estonian Biobank.
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2026
gVAMP and genetic effects
In February 2026, his group and Marco Mondelli’s group develop gVAMP, an algorithm for analyzing large biobank data. In June 2026, Robinson co-leads a study that separates direct, indirect, and parent-of-origin genetic effects; it finds that the environment shaped by parents’ genes can be nearly as important as inherited genes for height, body weight, and school test performance.
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As of October 2026
Professor and ELLIS Scholar
As of October 2026, he is a professor and group leader of Medical Genomics at ISTA, where the group develops statistical models and tools for large-scale medical records. ELLIS lists him as a Scholar at ISTA.
Career
- Since 2020Institute of Science and Technology AustriaAssistant Professor
- 2017–2020University of LausanneAssistant Professor
- 2013–2017University of QueenslandPostdoc
- 2009–2013University of SheffieldNERC Junior Research Fellow
Education
- 2008University of EdinburghPhD
Sources and credits
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