Christopher Canel is a research scientist specializing in datacenter networking and congestion control with 11 years of systems experience, currently working on receiver-driven mitigations for unfair flows and incast microbursts at Meta. He combines a PhD-level research background from Carnegie Mellon with multiple internships and project stints at Meta/Facebook, where he has repeatedly prototyped transport-layer solutions and delay-based congestion algorithms for large-scale AI and production clusters. His prior work spans reconfigurable datacenter transport, edge ML for streaming video, and performance-first big data system architectures, reflecting a preference for practical, measurable improvements. Based in Bellevue, WA, he brings both academic rigor and production engineering discipline, and when he’s not tuning congestion windows you’re likely to find him exploring the desert.
11 years of coding experience
4 years of employment as a software developer
Bachelor of Science (B.S.) Electrical Engineering and Computer Science, Bachelor of Science (B.S.) Electrical Engineering and Computer Science at University of California, Berkeley
High School Diploma, High School Diploma at Valhalla High School
Doctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at Carnegie Mellon University
Etalon - a Reconfigurable Datacenter Network (RDCN) emulator
Contributions:79 commits, 1 PR, 437 pushes in 2 years 11 months
emulatorinfinibandtraffic-analysisnetflowtraffic
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