Gerry Wan

I am a final year PhD student in Computer Science at Stanford University, where I work on building practical systems for high-speed network traffic analysis. I am advised by Zakir Durumeric.

My broad research interests are in developing tools and infrastructure for modern networks. I build systems to understand network traffic, collect large-scale data, and use the resulting perspective to evaluate and improve real-world networks. More recently, I have focused on solving problems related to the design of network infrastructure for large-scale machine learning workloads and next generation telecommunications, as well as techniques for optimizing ML model serving efficiency.

Previously, I graduated summa cum laude with a BSE in Electrical Engineering from Princeton University, advised by Prateek Mittal.

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