Jacob Schreiber is a computational scientist that uses machine learning to understand gene regulation across the genome. He joined the IMP in 2024 for a one-year stay as a visiting scientist before starting his faculty position in the United States. During his time in Vienna, he worked on developing computational tools to make machine learning more accessible to experimental biologists. Now leading his own research group, he reflects on his experience at the IMP, the value of its collaborative environment, and how he sees the future of AI and synthetic biology taking shape in Europe.
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Collaboration, computation, culture: Jacob Schreiber's year at the IMP
