Alex Sim

Scholarly Engagements Lead at Lawrence Berkeley National Laboratory

Berkeley, California, United States
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Summary

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Alex Sim is a seasoned scientific computing leader based in Berkeley with 14+ years driving R&D in data-intensive HPC, distributed systems, and machine learning at Lawrence Berkeley National Laboratory. Trained in applied math, statistics, and computer science, he designs and implements in-network storage/computing, streaming analytics, and dynamic resource management for domains from astronomy to genomics. He has led DOE and NSF projects as PI/Co-PI, contributed to 350+ publications, standards, open-source releases and patents, and has shepherded systems from algorithm design through open-source deployment. Known for blending statistical rigor with systems engineering, he focuses on online anomaly detection and performance prediction for autonomic scientific data infrastructures. As a senior IEEE member who has served on editorial and program committees, he quietly shapes both research directions and operational best practices across data, cloud, HPC, and networking communities.
code14 years of coding experience
job19 years of employment as a software developer
bookBA Applied Math and Statistics (double major), BA Applied Math and Statistics (double major) at University of California, Berkeley
bookMS Computer Science, MS Computer Science at San Francisco State University
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Stackoverflow

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Github Skills (6)

svn6
java5
redhat5
packaging3
mirror3
mysql3

Programming languages (3)

JavaShellHTML

Github contributions (5)

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SSDBM/2019

Oct 2018 - Jun 2023

Contributions:2 pushes, 1 branch in 4 years 8 months
esnet/sense-nrm-oscars

Apr 2019 - Sep 2021

Contributions:54 pushes, 1 branch, 1 tag in 2 years 5 months
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Alex Sim - Scholarly Engagements Lead at Lawrence Berkeley National Laboratory