Valentina Boeva
Valentina Boeva is a computational genomics researcher who develops machine-learning methods for cancer research. She earned a mathematics master's degree in 2003 and a doctorate in bioengineering and bioinformatics in 2007 at Lomonosov Moscow State University, then worked at Ecole Polytechnique/INRIA and Institut Curie before leading a cancer epigenetics lab at Institut Cochin. She coauthored the 2012 Control-FREEC paper on copy-number analysis from sequencing data, and she now leads ETH Zurich research that integrates machine learning with multi-omics cancer data. She joined the ETH AI Center's Core Faculty in December 2020; in March 2026, she co-leads an NCCR module on childhood cancer and her lab develops deep-learning and foundation models to predict treatment response. She is an associate professor of computational genomics at ETH Zurich after her promotion in September 2026.
- Now at
- ETH Zurich
Timeline
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2003–2007
Mathematics and bioinformatics degrees
She earns an M.Sc. in Mathematics at Lomonosov Moscow State University in 2003 and a Ph.D. in Bioengineering and Bioinformatics there in 2007.
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2007–2010
Postdoctoral research in France
She works as a postdoctoral researcher at Ecole Polytechnique/INRIA in 2007–2008 and at the Curie Institute in 2008–2010.
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2011–2016
Control-FREEC for sequencing
At the Curie Institute, she works as a research scientist from 2011 to 2016 and coauthors the 2012 Control-FREEC paper on assessing copy number and allelic content from next-generation sequencing data.
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2016–2019
Cancer epigenetics at Cochin
From 2016 to 2019, she leads the Computational Epigenetics of Cancer laboratory at Inserm's Cochin Institute in Paris.
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Since June 2019
Computational cancer genomics
Since June 2019, she leads the Computational Cancer Genomics Group at ETH Zurich and develops statistical and machine-learning methods for multi-omics cancer research. Her team uses machine learning to study how chromatin changes contribute to cancer initiation and progression.
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December 2020
ETH AI Center faculty
In December 2020, she joins the ETH AI Center as a Core Faculty member.
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March 2026
Foundation models for childhood cancer
In March 2026, she co-leads a research module in the NCCR “Children & Cancer”. Her lab develops and applies deep-learning and foundation models trained on cancer datasets to predict how cancer cells respond to treatment.
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September 2026
Associate Professor of Computational Genomics
In September 2026, ETH Zurich appoints her Associate Professor of Computational Genomics in its Department of Computer Science.
Career
- Since 2019ETH ZurichGroup Leader, Core Faculty member
- 2016–2019Institut CochinLaboratory Lead
- 2008–2016Institut CuriePostdoctoral Researcher, Research Scientist
- 2007–2008École PolytechniquePostdoctoral Researcher
- 2007–2008InriaPostdoctoral Researcher
Education
- 2007Lomonosov Moscow State UniversityPh.D. in Bioengineering and Bioinformatics
- 2003Lomonosov Moscow State UniversityM.Sc. in Mathematics
Colleagues
Sources and credits
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- Valentina Boeva | ETH Zurich
- Control-FREEC: Copy number and allelic content caller
- GitHub - BoevaLab/FREEC: Control-FREEC: Copy number and genotype annotation in whole genome and whole exome sequencing data · GitHub
- “The goal is to fundamentally transform how we treat childhood cancers” – Department of Computer Science | ETH Zurich
- Computational Cancer Genomics | Valentina Boeva
- Eight professors appointed | ETH Zurich