A day to bring Machine Learning to Biology data analysis

Symposium brings Dresden and Leipzig researchers together

Symposium's speakers. © Katrin Boes / MPI-CBG

The Machine Learning in Biology Symposium, organized by the Max Planck Institute of Molecular Cell Biology and Genetics (MPI-CBG) and the Cluster of Excellence Physics of Life (PoL) of the TU Dresden, took place on November 29th, 2023, at the MPI-CBG. Around 80 researchers from Dresden and Leipzig institutes came together to showcase research in machine learning applied to biology from their communities.

Machine learning is rapidly expanding and plays a crucial role in solving various problems, including in biophysics. Data analysis in life sciences stands to gain immensely from advanced tools developed by machine learning experts. The aim of the symposium was to bridge these two worlds and demonstrate how advanced techniques can significantly enhance research in different biological contexts.

The symposium included presentations on techniques and highlighted various examples of how to use machine learning as a tool to optimize and improve data analysis in different biology contexts. Local experts from the TU Dresden, the MPI-CBG, the Max Planck Institute for Mathematics in the Sciences (MPI MiS), the Helmholtz-Zentrum Dresden-Rossendorf (HZDR), and the National Center for Tumor Diseases Dresden (NCT/UCC) presented their ideas and research. The organizers of this symposium are hoping to create connections between people who are developing machine-learning tools and those with an interest in applying them to problems in biology and biological physics.