How do brains compute and learn? Janne’s research asks how we can use rich biological measurements and computational approaches to build models of brains and organisms that perform challenging, real-world tasks. He develops neural-network simulations that integrate complex biological data with modern machine learning and theory, aiming toward accurate whole-brain and organism-level models that support neuroscientific discovery.During his doctoral work at the University of Tübingen, supervised by Prof. Jakob Macke and Dr. Srinivas Turaga, he led the development of deep mechanistic networks to study when—and how—detailed measurements of brain wiring (connectomes) can enable accurate, neuron-level predictions of neural dynamics across the brain. Before his Ph.D., he earned a B.Sc. in Physics from the University of Göttingen and an M.Sc. in Neuroengineering from the Technical University of Munich, and worked as a researcher at HHMI Janelia in Dr. Turaga’s group.