Valentina Boeva
Scholar

Valentina Boeva

Google Scholar ID: f196u4IAAAAJ
Assistant Prof., ETH Zürich, Department of Computer Science
BioinformaticsMachine LearningNext Generation SequencingCancer GeneticsSequence Ananlysis
Citations & Impact
All-time
Citations
3,627
 
H-index
29
 
i10-index
43
 
Publications
20
 
Co-authors
21
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • Carried out several key projects such as modeling the effects of non-coding variants, developing a foundation model for single-cell transcriptomics in cancer, discovering shared transcriptional states, among others. Published research findings in journals like Cell Reports Medicine, Genome Biology, JNCI, and Bioinformatics.
Research Experience
  • Focused on multiscale models for DNA, investigating the effects of non-coding variants in cancer, AI-driven integration of heterogeneous data for biomarker discovery, deconvolution of tumor signals from bulk data, and multi-omics survival modeling to predict patient outcomes.
Background
  • Research interests include developing machine learning approaches to explore transcriptional heterogeneity and plasticity in cancer, focusing on chromatin, transcription, and cancer evolution under treatment.
Miscellany
  • Offers Bachelor's and Master's student project opportunities in machine learning, bioinformatics, and cancer research.