Michel Frising

Michel Frising is a Postdoctoral Researcher at the Autonomous University of Madrid (UAM), affiliated with the Nanophotonics Group within the Faculty of Sciences. His primary appointment is in the Department of Theoretical Condensed Matter Physics. He completed his PhD in 2022 at UAM, focusing on machine learning applications in nanophotonics, under co-advisors Ferry Prins and Jorge Bravo Abad. Prior to UAM, he conducted MSc research at ETH Zurich and the University of Wisconsin-Madison. His research interests center on developing generative modeling techniques using neural networks to enable inverse design of photonic structures and explore complex parameter spaces.

Education:

• PhD in Condensed Matter Physics, Nanoscience, and Biophysics (UAM, 2022)
• MSc in Micro and Nanosystems (ETH Zurich, focus: photonics/nano-optics)
• MSc thesis at University of Wisconsin-Madison with Prof. Mikhail Kats on color vision enhancement devices

Research Trends: His publications highlight advancements in machine learning for photonic design, exciton dynamics in perovskites, and biomedical optics innovations. Key areas include invertible neural networks for multimodal device optimization, hyperspectral imaging of biomaterials, and passive frequency conversion using nanocrystals.

Awards:

• Cum Laude distinction for PhD thesis
• LaCaixa INPhINIT Fellowship

Advising/Grants: No formal advisees listed. His work is supported through institutional funding and collaborations within IFIMAC and EU projects like MIRAQLS.

Labs/Teams: Core member of the Nanophotonics Group, contributing to interdisciplinary projects at the interface of materials science and computational photonics.