Daniel Berger
Principal Researcher at University of Washington
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolDaniel Berger is a Principal Researcher at Microsoft Azure Systems Research and an Affiliate Assistant Professor at the University of Washington with 11 years of experience advancing datacenter efficiency, cloud performance, and fast Internet content delivery. His work bridges rigorous academic research and production-scale systems, earning multiple best-paper awards at top systems conferences including OSDI, ASPLOS, and SOSP. He has held research positions at CMU and had short-term roles at Meta, combining deep measurement, modeling, and engineering to improve sustainability and throughput in large-scale networks. Daniel’s background includes a PhD from RPTU Kaiserslautern-Landau and hands-on reverse-engineering and measurement work (e.g., a 50-node Wi‑Fi study), reflecting a rare mix of low-level systems expertise and cloud-focused impact.
11 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at RPTU Kaiserslautern-LandauComputer Science, Computer Science at ETH ZürichComputer Science, Computer Science at University of Waterloo
English, German, French
Github Skills (20)
simulator9
caching9
policies9
azure-functions9
raii9
lru9
cpp8
azure8
internet8
cdn8
derive8
microsoft-azure7
sketchup7
microsoft6
traffic4
Programming languages (3)
Github contributions (5)
dasebe/optimalwebcaching
Oct 2017 - Aug 2022
Derive the optimal cache hit ratio for Internet request traces with variable object sizes.
Contributions:59 commits, 2 PRs, 39 pushes in 4 years 11 months
tracesderivelrucachingratio
dasebe/caching-analysis
Jun 2019 - Mar 2020
Contributions:1 PR, 57 pushes, 9 comments in 8 months
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