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Eszter Lakatos

Assistant Professor, Department of Mathematical Sciences · Chalmers University of Technology

https://researchid.co/elakatos
@chalmers.se
1528Google Scholar Citations
15Google Scholar h-index
20Google Scholar i10-index

Research Interests

Bioinformatics, Biostatistics

Biography

I am a computational biologist passionate about applying quantitative techniques to understand the biological principles governing disease in order to improve clinical decision making. I am particularly interested in uncovering how cancers evolve using next-generation sequencing datasets.

Education

2017 - Ph.D. in Theoretical Systems Biology - Imperial College London Supervisor: Prof Michael P.H. Stumpf 2013 - M.Sc. of Infobionics Engineer - Pázmány Péter Catholic University Grade: honours, Average: 5.0/5.0

Recent Google Scholar Publications

  1. Bridging Mechanism and Data: Hybrid Modeling Approaches for Cancer and Aging Research
    Current Opinion in Systems Biology, 100573 , 2026, 2026
  2. Sensitive detection of copy number alterations in low-pass liquid biopsy sequencing data
    Briefings in Bioinformatics 27 (2), bbag111 , 2026, 2026
  3. Timing and mechanisms of immune evasion in colorectal cancers
    NATURE GENETICS , 2025, 2025
  4. Epigenetically driven and early immune evasion in colorectal cancer evolution
    Nature Genetics, 1-11 , 2025, 2025 | Citations: 15.0
  5. Evolutionary and immune microenvironment dynamics during neoadjuvant treatment of esophageal adenocarcinoma
    Nature Cancer 6 (5), 820-837 , 2025, 2025 | Citations: 13.0

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