Michał JANUSZEWSKI

Google Research

Michał Januszewski is a Staff Research Scientist at Google in Zürich, where he is currently a member of the Connectomics group and works on automated methods for high-throughput brain mapping at synaptic resolution.

Together with his team he has developed Flood-Filling Networks -- a method for precise neuron tracing which improved error-free path lengths by an order of magnitude. In 2020, this approach was used to reconstruct the Drosophila hemibrain in collaboration with the FlyEM team at HHMI Janelia, and in 2021, a 1 mm^3 fragment of the human neocortex in collaboration with the Lichtman lab at Harvard University. Both were the largest synapse-resolution maps of brain connectivity ever produced at the time of their respective releases.

Michał's current research interests lie at the intersection of machine learning, neurobiology and high-performance computing.

Prior to Google, Michał did research in the fields of computational fluid dynamics and stochastic dynamical systems, in which he developed state-of-the-art GPU-accelerated numerical software. He holds a BSc degree in Computer Science, and a PhD in Physics, both from University of Silesia in Katowice, Poland.