Hello! I’m Janet 👋
I am currently an Applied Physics PhD student at Stanford supervised by Prof Shanhui Fan, where I am supported by a Fulbright Future Scholarship and previously the Quad Fellowship. My research focuses on computational photonics, non-Hermitian physics, optimization, machine learning, topological physics and quantum optics. During grad school, I interned at Blackbird in Australia and was an Emerson Consequential Scholar. I also interned at Apple where I worked on optimization and optics for displays. Previously, I did my undergraduate honours and masters in physics at the Australian National University, under Dr Alexander Poddubny. In high school, I competed in the International Physics Olympiads and I also tutored at several camps. Besides physics, I like photography, painting, skateboarding, reading memoirs, solo travelling, watching sunsets and thinking about life.
Posts
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Machine Learning Kerr Combs
We will be presenting some work on the inverse design of Kerr combs at the Machine Learning and the Physical Sciences Workshop @ NeurIPS. We train a generative neural network on Lugiato-Lefever equation simulations using variational autoencoders and flow-matching models.
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Topology and Edge States
We recently published a paper in Physical Review Letters on a new topological invariant for edge states in simple, one-dimensional models. The arXiv version is also available here.