Valentina Boeva, Prof. Dr.

Address:
ETH Zurich
Prof. Dr. Valentina Boeva
CAB G32.2
Universitatstrasse 6
8092 Zurich
Switzerland

Twitter: @val_boeva
LinkedIn: Valentina Boeva
Bluesky: @valboeva

Research area

Rapid advancements in data analytics in recent years, coupled with development of novel tools for molecular profiling of cancer tissues provide new opportunities to better understand the mechanisms of tumorigenesis. This is achieved via learning from so-called "omics" data (genomic, transcriptomic, proteomic, metabolic, etc.) to extract biomarkers of survival and response to treatment. We see various techniques, both classical statistical methods, as well as more advanced machine learning tools, being increasingly effective in extracting these biomarkers and thus improving clinical decisions.

The group of Valentina Boeva centers their research on multi-omics data integration and develops methods for omics data analysis with a specific focus on biological questions that have the potential to influence the current practices to treat cancer.

We expect a two-fold benefit from the computational methods the group develops. First, the application of the developed methods to cancer datasets will result in a deeper understanding of biological processes driving tumor progression. Second, we expect to obtain genetic or transcriptional biomarkers integrated into supervised machine learning models to be used in clinics for patient risk stratification and therapeutic guidance. All software Valentina Boeva and her group develop is open-source.

CV

  • Since 2019, Tenure Track Assistant Professor, Computational Cancer Genomics Group, Institute for Machine Learning, Department of Computer Science, ETH Zurich, Switzerland
  • 2016 - 2019, Group Leader, Laureate of ATIP-Avenir Programme, Computational Cancer (Epi-)Genetics Group, Cochin Institute / Inserm / CNRS / Paris Descartes University, France
  • 2011 - 2016, Research Scientist, Laboratory of Bioinformatics, biostatistics, epidemiology, and computational systems biology of cancer, Curie Institute / Inserm / Mines ParisTech, France
  • 2008 - 2010, Postdoctoral Researcher, Laboratory of Bioinformatics, biostatistics, epidemiology, and computational systems biology of cancer, Curie Institute / Inserm / Mines ParisTech, France
  • 2007 - 2008, Postdoctoral Researcher, Laboratory of Computer Science, Ecole Polytechnique and INRIA Rocquencourt, France
  • 2007, Ph.D. degree, Department of Bioengineering and Bioinformatics, Lomonosov Moscow State University, Moscow, Russia
  • 2003, Master's degree in Mathematics and Applied Mathematics, Department of Mechanics and Mathematics, Lomonosov Moscow State University, Moscow, Russia

Complete list of publications: Link, Google scholar: Link
Teaching: Link
Software: Link