Updates

  • Sadly, the time has come for me to depart Stanford. As of March 2020, I will be working at Google X on an undisclosed project.

  • Our paper showing that waves are recurrent neural networks was published in Science Advances! We demonstrate that analog machine learning computations can be performed by propagating light and sound through programmed materials. Code for the project is available on GitHub.

  • I gave a workshop with Momchil Minkov on inverse design and automatic differentiation for photonic device design at Stanford University for OSA. If you’d like to learn about these concepts, the slides are available here and the Python notebooks/code are available on GitHub.

  • I updated my software page with descriptions and links to my recent open source projects relating to machine learning and optical simulation / optimization

  • Our paper on the forward mode differentiation of Maxwell’s equations was published in ACS Photonics! This mode is the counterpart to the adjoint / backward mode typically used in inverse design.

  • Our work towards realizing nonlinear activation functions for optical neural networks was published in IEEE Journal of Selected Topics in Quantum Electronics

  • I am giving a talk at CLEO on broadband optical switches using dynamic modulation in the Time Varying Metasurfaces session at 9:15 am

  • Our paper on zero-index bound states in the continuum was published in Physical Review Letters

  • Our paper on the inverse design of nonlinear optical devices was published in ACS Photonics

  • My paper “Dual-Carrier Floquet Circulator with Time-Modulated Optical Resonators” was published in ACS Photonics

  • The next chapter begins! I am now a postdoc at Stanford in Shanhui Fan’s group

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  • Copyright Ian Williamson.