Valentina Boeva, Prof. Dr.
Address:
ETH Zurich
Prof. Dr. Valentina Boeva
CAB G32.2
Universitätstrasse 6
8092 Zurich, Switzerland
Twitter: @val_boeva
LinkedIn: Valentina Boeva
Bluesky: @valboeva
Research Area
Rapid advancements in data analytics and molecular profiling provide new opportunities to understand tumorigenesis through multi-omics data (genomic, transcriptomic, proteomic, etc.). Our lab develops statistical and machine learning methods to extract survival and treatment biomarkers and improve clinical decisions.
We focus on integrating multi-omics data to address biologically and clinically relevant questions in cancer. The computational methods we develop lead to new biological insights and serve as the foundation for supervised models that support clinical decision-making.
Curriculum Vitae
- Since 2019 – Tenure Track Assistant Professor, ETH Zurich, Institute for Machine Learning
- 2016–2019 – Group Leader, Institut Cochin, Université Paris Cité
- 2011–2016 – Research Scientist, Curie Institute, France
- 2008–2010 – Postdoctoral Researcher, Curie Institute, France
- 2007–2008 – Postdoctoral Researcher, Ecole Polytechnique / INRIA, France
- 2007 – Ph.D., Bioengineering and Bioinformatics, Lomonosov Moscow State University
- 2003 – M.Sc. in Mathematics, Lomonosov Moscow State University
Complete list of publications: Link
Google Scholar: Link
Teaching: Link
Software: Link