Jakob Troidl
Jakob is a ML fellow at E11 and works towards automating manual connectome proofreading using AI and barcoded imaging data. Jakob is also a Ph. D. candidate in Computer Science at Harvard University, where he is broadly interested in data visualization and applied machine learning, especially with applications in connectomics. Specifically, his research focuses on building scalable interactive visual analysis tools and representation learning approaches to analyze the hidden architecture of the brain. He closely collaborates with Srini Turaga at HHMI Janelia and received his M. Sc. and B. Sc. in Computer Science from TU Wien, Austria.