Ming-yuan Lu

Senior Data Scientist

New York, New York, United States
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Summary

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Senior
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Top School
Ming-yuan Lu is a Senior Data Scientist with nine years of experience building production-scale data pipelines and analytics platforms, currently at Enigma Labs after leading data engineering efforts at The Wall Street Journal. He holds a PhD in particle astrophysics from the University of Wisconsin–Madison and brings a researcher's rigor to engineering problems, having developed C++ simulation and interferometric analysis tools for cosmic neutrino experiments. At WSJ he built a Scala/Spark streaming pipeline ingesting 40M+ events/day and optimized Postgres performance up to 25x while provisioning infrastructure with Terraform on AWS. His technical breadth spans Python, Scala, C/C++, Spark, Kafka/Kinesis, Druid, TimescaleDB and observability tooling, enabling rapid, cost-effective delivery of near real-time insights for product and editorial stakeholders. Colleagues rely on him to translate complex analytical needs into robust data schemas and streaming architectures, blending academic-caliber statistical thinking with pragmatic cloud engineering. An under-the-radar strength is his ability to fuse experimental physics techniques with large-scale data systems to solve unusual signal-processing and data-quality challenges.
code10 years of coding experience
job11 years of employment as a software developer
bookDoctor of Philosophy (Ph.D.), Particle Astrophysics, Doctor of Philosophy (Ph.D.), Particle Astrophysics at University of Wisconsin-Madison
bookBachelor’s Degree, Physics, Bachelor’s Degree, Physics at National Taiwan University
languagesEnglish, Chinese, French, Chinese
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Github Skills (4)

ara7
monte-carlo7
neutrino6
simulation6

Programming languages (2)

C++Python

Github contributions (5)

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Contributions:2 releases, 261 commits, 2 PRs in 3 years 8 months
arareconstructionneutrino
mingyuanlu/bubble-breaker

Jun 2019 - Jul 2019

Contributions:118 commits, 3 PRs, 104 pushes in 29 days
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