Yixin Luo - Systems Manager at South Regional Climate Center

Yixin Luo

Systems Manager at South Regional Climate Center

Baton Rouge, Louisiana, United States

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Summary

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Senior

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Top School

Yixin Luo is a systems manager and PhD in computer science with over a decade of hands-on experience building and operating high-performance computing environments for climate and oceanography research. Based in Baton Rouge, she has designed and maintained RHEL clusters, mixed Linux/Windows server farms, and data pipelines for projects like WAVCIS and the Coastal Studies Institute, and was recognized as Employee of the Institute in 2009. Her work bridges system administration, parallel computing, and scientific data product development, supporting climatologists and oceanographers with production-ready compute resources. She also contributes to open-source database tooling—adding robustness and performance-focused features to the CMU Peloton project—highlighting a rare mix of research-grade HPC operations and backend software development.

12 years of coding experience

4 years of employment as a software developer

M.S, Physics and Computer Science, M.S, Physics and Computer Science at Southern University and Agricultural and Mechanical College at Baton Rouge

B.S, Materials Engineering, B.S, Materials Engineering at Wuhan University of Technology

Ph.D., Computer Science, Ph.D., Computer Science at Louisiana State University

Github Skills (8)

c-language10

postgresql10

cprogramming-language10

database-design10

dbms10

exception-handling9

database-tuning8

database-optimization8

Programming languages (1)

C++

Github contributions (5)

cmu-db/peloton

Mar 2017 - Nov 2017

The Self-Driving Database Management System

Role in this project:

Back-end Developer

Contributions:150 commits, 3 PRs, 15 comments in 8 months

Contributions summary:Yixin contributed to the core database functionality by adding and modifying database dropping functionality within the Peloton database management system. Their commits involved adding the ability to drop databases using their OID and related code. Furthermore, the user updated comments within query metrics, indicating a focus on database performance and monitoring. They also incorporated exception handling, reflecting a concern for the robustness of the database code.

database-managementdatabasedbms

lym953/15721-p3

Nov 2017 - Apr 2018

Contributions:24 commits in 4 months

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