Sylvain
Gigan

Wavefront shaping, transmission matrix measurement, and computational microscopy to image through opaque biological tissues. Non-linear and label-free techniques for in vivo neurophotonics.

Leveraging multiple scattering to build optical computing architectures — reservoir computing, random matrix projections, nonlinear encoding — massively parallel and energy-efficient.

Manipulation of non-classical states of light through multimode fibers and complex media. Spatial multimode quantum optics, quantum imaging, and quantum machine learning with photons.

Translational research in biophysics, neuroscience, and material science. Collaborations with clinicians, neuroscientists, and industrial partners including international initiatives (CZI, NIH BRAIN, DARPA).