Data integration and machine learning in single cell and spatial omics for precision oncology

Hosted by Cardiff University's School of Medicine

  • What are some current challenges in precision oncology and why and how can single and spatial omics data be relevant?
  • Multi-Omics Factor Analysis for multi-modal data integration
  • Clustering-free differential expression with single cell RNA-Seq
  • Understanding tumour heterogeneity and variable treatment response from spatial omics data using concepts from geography

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Wolfgang Huber works as a research group leader at the European Molecular Biology Laboratory (EMBL) in computational biology and statistical/computational method development for novel biotechnologies, new data types and large systematic datasets.

He is an EMBL Senior Scientist, co-director of the Molecular Medicine Partnership Unit, a joint venture between the Medical Faculty of the University of Heidelberg and EMBL, co-head of the Theory Transversal Theme at EMBL, and co-head of EMBL’s Open Science and Responsible Research Assessment working groups.

He is a founding member of Bioconductor, a large, collaborative, international open-source software project for the analysis and comprehension of biological data. He is also a fellow of the International Society for Computational Biology, and an elected Member of the European Molecular Biology Organization (EMBO).

Wolfgang is interested in open source software community building, and engages in courses, workshops and consortia that help drive these. He is also deeply committed to cross-disciplinary scientific training: teaching biologists and medical researchers in statistics, computation and AI, and teaching computational scientists in biological applications and data generating technologies.

Contact information

Enquires to Barbara Szomolay