Hugo Cui

Photo of Hugo Cui

Hugo Cui is a researcher at the Mathematics Laboratory of Orsay, a mixed research unit of the University of Paris-Saclay and the French National Centre for Scientific Research (CNRS). After he earned his PhD in 2024 from the Swiss Federal Institute of Technology in Lausanne (EPFL) in Switzerland, Cui worked as a postdoctoral fellow at the Center of Mathematical Sciences and Applications of Harvard University before starting at CNRS in 2025. His research sits at the crossroads of machine-learning theory, high-dimensional statistics, and statistical physics.


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Viewing Neural Networks Through a Statistical-Physics Lens

Statistical physics is shedding light on how network architecture and data structure shape the effectiveness of neural-network learning. Read More »