Key dates

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  • January 10, 2022: Registration opens!
  • January 15 - February 10, 2022: Submission for workshops, posters, talks open
  • February 21, 2022: Decision on acceptance
  • February 16, 2022: Registration closes for in-person attendance
  • March 7, 2022: Registration closes for virtual attendance
  • March 14-15, 2022: 'Intro to R' pre-conference workshop
  • March 16-18, 2022: EuroBioC2022 conference


Dr. Shila Ghazanfar

Research Associate in Statistical Bioinformatics, Cancer Research UK Cambridge Institute

Dr. Ghazanfar is a researcher in Statistical Bioinformatics. Her independent research goal is to develop statistical and computational methods for understanding cellular heterogeneity and interaction using spatial genomics at single cell resolution and leveraging non-spatial single cell data sources.,

Dr. Michael Dorrity

Visiting Group Leader, EMBL Heidelberg

The Dorrity group investigates how variability propagates from the level of molecules to developing cells and tissues, and ultimately to organismal phenotype.,

Dr. Judith Zaugg

Group Leader, EMBL

The Zaugg Group investigates the variation of molecular phenotypes among individuals along with their genetic and epigenetic variation with the aim of better understanding the molecular basis of complex genetic diseases and inter-individual differences in drug response. We are applying and developing computational biology tools for integrating large-scale biological ‘omics data to address questions in personalised genomics and investigate basic gene regulatory mechanisms.,

Dr. Björn Grüning

Galaxy team leader

Björn Grüning currently works at the Inst. of Computer Science, University of Freiburg and is leading the Freiburg Galaxy team.

Dr. Gioele La Manno

ELISIR Fellow, Principal Investigator

Gioele La Manno earned his PhD at Karolinska Instituet, the Linnarsson Lab. His original training is in Biotechnology and Biomedicine but nowadays he works as Molecular Biologist, Computational Biologist or Bioinformatician. His research focuses on understanding brain development. He is particularly interested in describing the sequence of states that embryonic stem cells go through during their differentiation towards mature neurons. He have been tackling this question using machine learning tools on the wealth of data provided by single cell RNA sequencing, a technique he have been working with and developing since its early times.,

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