Ryan Marcus
Assistant Professor at University of Pennsylvania
Philadelphia, Pennsylvania, United States
Summary
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Senior🎓
Top SchoolRyan Marcus is an assistant professor at the University of Pennsylvania with 12 years of experience building next-generation database systems that leverage machine learning. His work spans industry and academia—from designing resource- and cost-aware cloud database schedulers as a PhD student to modeling query performance and contributing to Redshift autonomics at AWS. He has a strong publication record (SIGMOD, VLDB, NeurIPS) and a SIGMOD Best Paper, reflecting a blend of theoretical rigor and practical systems impact. Ryan’s background includes applied research at Intel Labs and hands-on systems engineering at Vertica and Los Alamos, giving him deep expertise in performance optimization and ML-driven database automation. He teaches and advises PhD students while continuing to prototype ML-infused DBMS features, and is known for bringing a playful sense of humor into serious systems problems. Not obvious from the title: his career threads HPC, production cloud services, and reinforcement-learning driven resource management into a coherent focus on autonomous data systems.
13 years of coding experience
11 years of employment as a software developer
The University of ArizonaDoctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at Brandeis University
Github Skills (115)
parser10
javascript10
csv10
vagrant10
logic10
json10
serializer10
macros10
benchmarking10
csv-parser10
recursive10
csv-reader10
recurrent-neural-networks10
parse10
resiliency10
Programming languages (12)
Github contributions (5)
RyanMarcus/plr
Oct 2019 - Jul 2022
Error-bounded piecewise linear regression
Contributions:28 commits, 1 PR, 23 pushes in 2 years 9 months
linear-regression
RyanMarcus/skill-calendar
Nov 2015 - Nov 2025
A NodeJS program to create skill calendars
Contributions:3 PRs, 20 pushes, 7 branches in 10 years 2 months
javascriptnodejscalendarcalendars
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