Christopher Canel possesses a robust background in computer science and networking, with experience as a Research Assistant at UC Berkeley's NetSys Lab focusing on big data analytics and subsequent roles at prominent tech companies. At Facebook and Meta, Christopher contributed to projects on datacenter networking and congestion control, specifically addressing incast microbursts. Christopher's internship at Qualcomm involved developing firmware for an audio streaming solution. Currently pursuing a PhD in Computer Science at Carnegie Mellon University, Christopher's research centers on networked systems, building on a strong educational foundation that includes a Bachelor of Science and a Master of Science from the University of California, Berkeley, and Carnegie Mellon University, respectively.
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