10 - 12 April 2024

Vienna BioCenter, Austria

The 9th Probabilistic Modeling in Genomics Conference (ProbGen24), will be held in Vienna, Austria, April 10-12 2024, at the Vienna BioCenter, close to the center of Vienna, 20 minutes from the airport by public transport, and with excellent train connections.
 

FORMAT

The conference will cover models, algorithms and  methods across a broad range of applications in genetics and genomics. We invite abstract submissions on topics ranging from phylogeny and population genetics to single cell -omics and machine learning in cancer biology. For an idea of the topics covered, please see the programs of previous meetings, which have been alternating between CSHL (2023, 2021, 2018, 2015), and locations in Europe (Oxford 2022, 2016, Aussois 2019, and Aarhus 2017).

As usual the format will encourage plenty of interaction. In addition to invited speakers, talks will be selected from submitted abstracts, and there will also be two poster sessions.

KEYNOTE SPEAKERS

• Andrew Clark, Cornell University
• Mercedes Pascual, New York University
• Shamil Sunyaev, Harvard Medical School

INVITED SPEAKERS/CHAIRS AND TENTATIVE SESSIONS

• Anne-Florence Bitbol, EPFL, Lausanne - Microbiome & population structure
• Mikkel Heide Schierup, Aarhus University - Molecular evolution
• Sebastian Höhna, Ludwig-Maximilians-University, Munich - Phylogenetics
• Denise Kühnert, Robert Koch Institute, Berlin - Phylodynamics
• M. Elise Lauterbur, University of Arizona - Detecting Selection
• Hakhamanesh Mostafavi, NYU Grossman School of Medicine - Quantitative genetics
• Pier Palamara, Oxford University - ARGs & population structure
• Molly Przeworski, Columbia University - Mutation and recombination
• Yun S. Song, University of California, Berkeley - Systems biology
• Oliver Stegle, Deutsches Krebsforschungszentrum, Heidelberg - Genomics

REGISTRATION IS CLOSED!

SCIENTIFIC ORGANIZERS

Nick Barton, ISTA • Joachim Hermisson, University of Vienna • Carolin Kosiol, St. Andrews University • Magnus Nordborg, GMI

 

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