Recent advances in Machine Learning (ML) allowed for unprecedented improvement in the toolset for basic and applied biomedical research. ML-powered processing and analysis of biomedical images, gene or protein sequences, molecular structure, as well as scientific language provide untapped opportunities in infection and disease biology. To accelerate the harnessing of this toolset, we are bringing together experts from infection biology, disease biology, quantitative biology, biomedical ML, and the pharmaceutical industry in the first symposium on ML for infection and disease in Görlitz.

Confirmed keynotes

●     Prof. Urs Greber (University of Zurich, Switzerland)

●     Prof. Jason Mercer (University of Birmingham, United Kingdom)

●     Prof. Yohei Yamauchi (ETH Zürich, Switzerland and University of Bristol, UK)

●     Prof. Ivo Sbalzarini (TU Dresden, Center for Systems Biology Dresden, Germany)

●     Prof. Serge Mostowy (London School of Hygiene & Tropical Medicine, United Kingdom)

●     Dr. Mikhail Kudryashev (Max Delbrück Center for Molecular Medicine, Germany)

●     Dr. Elif Ozkirimli (Roche Pharma, Switzerland)

●     Dr. Harry Horsley (University College London, United Kingdom)

●     Dr. Anna Poetsch (TU Dresden, Germany)

●     Dr. I-Hsuan Wang (Academia Sinica, Taiwan)

Registration and event website

Due to space constraints only the first 25 people who register to participate in person will be allowed to join the event in person.

As the symposium is organized as a combined in person and online event, there is the possibility to save one of 75 slots that allow for remote participation.

Follow this link for more information and to register (for both in person and remote participation).