Our Research
We deploy inverse design, reinforcement learning, and neural networks to model complex light-matter interactions and optimize next-generation photonic devices while ensuring fabrication compatibility.
We explore and develop advanced nanofabrication techniques that allow us to pattern complex structures using materials that are transparent in the UV and visible spectrum.
We think about how our devices enable next-generation quantum technologies and optical computing. Our optical testing lab allows us to characterize device performance.
Our Team
We are a multi-disciplinary team spanning computational optimization, quantum and ultra-fast optics and photonics for quantum information.