معرفی
Brice Ménard is a Professor at Johns Hopkins University (JHU), affiliated with the Krieger School of Arts & Sciences and the William H. Miller III Department of Physics & Astronomy. He holds secondary appointments in the Cognitive Science and Computer Science departments. Ménard joined JHU in 2010 following postdoctoral roles at the Institute for Advanced Study (Princeton) and the Canadian Institute for Theoretical Astrophysics (Toronto).
His research bridges astrophysics, cosmology, and machine learning, focusing on neural networks in artificial and biological systems. Key areas include cosmic infrared background tomography, weak lensing analysis, and the physics of learning. Notable work involves contributions to the Euclid space mission and developing the scattering transform for data analysis.
Education: PhD from the Institut d’Astrophysique de Paris and the Max Planck Institute for Astrophysics (Germany).
Awards include the Packard Fellowship (2014), Sloan Research Fellowship (2012), and the 2011 Henri Chrétien Award from the American Astronomical Society. He also pioneered algorithms like the Sequencer for detecting trends in complex datasets.
Ménard’s interdisciplinary approach has led to collaborations across physics, computer science, and cognitive science. His current projects explore universal neural encodings and high-dimensional representations in human visual cortex.
