Uploaded May 2026 | Updated September 2026, 2 weeks ago
Eric and Wendy Schmidt Center Symposium: Biomedical Science and AI
April 28 - 29, 2026
Day 1, Cancer-Specific Foundation Models: Friend or Foe in Healthcare AI?
Valentina Boeva, ETH Zurich
Speaker Bio:
Valentina Boeva is a Tenure Track Assistant Professor at the Department of Computer Science, ETH Zurich, where she leads the Computational Cancer Genomics Group. Her research focuses on developing computational methods for multi-omics data integration to understand the epigenetic and transcriptional plasticity of cancer cells. Before joining ETH Zurich in 2019, Prof. Boeva led the Computational Epigenetics of Cancer laboratory at Inserm's Cochin Institute in Paris. She holds a Ph.D. in Biophysics and Bioinformatics from Lomonosov Moscow State University. Throughout her career, Prof. Boeva has made contributions to the field of computational cancer genomics by developing methods for the analysis of DNA sequencing data, bulk and single-cell transcriptomics and epigenomics data, and, recently, spatial transcriptomics and proteomics.
For more information, visit broad.io/ewsc-symposium-2026
Copyright Broad Institute, 2026. All rights reserved.
Eric and Wendy Schmidt Center Symposium: Biomedical Science and AI
April 28 - 29, 2026
Day 1, Cancer-Specific Foundation Models: Friend or Foe in Healthcare AI?
Valentina Boeva, ETH Zurich
Speaker Bio:
Valentina Boeva is a Tenure Track Assistant Professor at the Department of Computer Science, ETH Zurich, where she leads the Computational Cancer Genomics Group. Her research focuses on developing computational methods for multi-omics data integration to understand the epigenetic and transcriptional plasticity of cancer cells. Before joining ETH Zurich in 2019, Prof. Boeva led the Computational Epigenetics of Cancer laboratory at Inserm's Cochin Institute in Paris. She holds a Ph.D. in Biophysics and Bioinformatics from Lomonosov Moscow State University. Throughout her career, Prof. Boeva has made contributions to the field of computational cancer genomics by developing methods for the analysis of DNA sequencing data, bulk and single-cell transcriptomics and epigenomics data, and, recently, spatial transcriptomics and proteomics.
For more information, visit broad.io/ewsc-symposium-2026
Copyright Broad Institute, 2026. All rights reserved.
