Education

• PostDoc, Allen Institute for Neural Dynamics with Laura Driscoll ↗ December 2024 to present
• DPhil Candidate, Saxe Lab, University of Oxford ↗ October 2020 - November 2024
• Computational Neuroscience M.Sc., Bernstein Center for Computational Neuroscience Berlin ↗ October 2018 - September 2020
• Cognitive Science B.Sc., University of Osnabrück ↗ October 2014 – September 2018

Publications

Theiss M, Braun L, Saxe AM, Grant E. (2026) Parameter symmetries determine representational geometry in overparameterized nonlinear networks. ICML 2026 Workshop Paper ↗

Holton E, Braun L, Thomson AFJ, Grohn J, Summerfield C. (2026) Humans and neural networks show similar patterns of transfer and interference during continual learning. Nature Human Behavior 2026 Paper ↗

Braun L, Grant E, Saxe AM. (2025) Not all solutions are created equal: An analytical dissociation of functional and representational similarity in deep linear neural networks. ICML 2025 Paper ↗

Dominé CCJ, Anguita N, Proca AM, Braun L, Kunin D, Mediano P, Saxe AM. (2025) From lazy to rich: Exact learning dynamics in deep linear networks. NeurIPS 2025 Paper ↗

Nelli SM, Braun L, Dumbalska T, Saxe A, Summerfield C (2023) Neural knowledge assembly in humans and deep networks. Neuron Paper ↗

Braun L, Dominé CCJ, Fitzgerald JE, Saxe AM. (2022) Exact learning dynamics of deep linear networks with prior knowledge. NeurIPS 2022 Paper ↗

Braun L, Vogels TP (2021) Online Learning Of Neural Computations From Sparse Temporal Feedback. NeurIPS 2021 Paper ↗ Code ↗

Drews MS, Leonhardt A, Pirogova N, Richter FG, Schuetzenberger A, Braun L, Serbe E, Borst A (2020) Dynamic signal compression for robust motion vision in flies. Current Biology Open Access ↗

Research Experience

• Intern, Vogels Lab, Centre for Neural Circuits and Behaviour, University of Oxford ↗ August – October 2019
• Intern, Department of Circuits, Computation and Models, Max-Planck-Institute of Neurobiology ↗ July – October 2017
• Research Assistant, Bray Neuroimaging Lab, University of Calgary, Canada ↗ July – October 2016
• Intern, Department of Circuits, Computation and Models, Max-Planck-Institute of Neurobiology ↗ February – March 2016
• Research Assistant, Department of Computational Linguistics, University of Osnabrück ↗ July 2015 – June 2016

Teaching Experience

• Lecturer, Implementing Artificial Neural Networks with TensorFlow (8 ECTS Lecture) October 2017 – February 2018
• Lecturer, Implementing Artificial Neural Networks with TensorFlow (4 ECTS Seminar) October 2016 – February 2017

Scholarships, Awards and Grants

• NENS Exchange Grant awarded by the Federation of European Neuroscience Societies ↗ October 2019
• Deutschlandstipendium awarded by the Institute of Technology Berlin ↗ October 2018 to September 2020
• DAAD Rise-Worldwide Scholarship Full scholarship for a research internship in Canada ↗ July – October 2016
• Cognitive Farming Hackathon First price ↗ December 2016

Professional Experience

• Co-Founder, skunkit U.G. (haftungsbeschränkt) ↗ 2012 – December 2015