Eszter Lakatos

Assistant Professor at Applied Mathematics and Statistics

I am a mathematical biologist passionate about applying quantitative techniques to understand the biological principles governing disease in order to improve clinical decision making. I develop stochastic mathematical models with bioinformatic techniques for next-generation sequencing datasets. My research focuses on how cancers evolve to resist immune surveillance and anti-cancer treatment.

Source: chalmers.se
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Showing 2 publications

2024

The genomic landscape of 2,023 colorectal cancers

Alex J. Cornish, Andreas J. Gruber, Ben Kinnersley et al
Nature. Vol. 633 (8028), p. 127-136
Journal article
2024

Homopolymer switches mediate adaptive mutability in mismatch repair-deficient colorectal cancer

Hamzeh Kayhanian, William Cross, Suzanne E.M. van der Horst et al
Nature Genetics. Vol. 56 (7), p. 1420 -1433
Journal article

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