I’m a Project Scientist with SLAC National Accelerator Laboratory and a PhD candidate in Electrical Engineering at Stanford University, advised by Stephen Boyd. We recently wrote a paper on signal decomposition.

Since 2018, I have been running the PVInsight project for SETO, developing tools to solve digital operations and maintence problems in the solar PV industy. Some of these tools can be found here.

I am interested in machine learning, signal processing, and data mining and their applications in the energy sector. I am particularly interested in topics of large scale renewable integration and distributed energy generation.

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