Po Cheng
Lead Database Administrator
Village of Great Neck, New York, United States
Summary
👤
Senior🎓
Top SchoolPo Cheng is a seasoned Lead Database Administrator with over eight years of focused experience managing mission-critical databases across financial, insurance, government, and healthcare sectors. Currently leading database operations at AXA Technology Services, he combines deep expertise in database design, performance tuning, and system integration with a pragmatic focus on project productivity and cost-effectiveness. His background includes major roles at Citigroup and UBS where he led conversions, regulatory reporting, and complex obfuscation projects supporting large-scale financial applications. Po’s early work on Y2K conversions and long tenure in data center and QA operations give him a rare blend of legacy systems know-how and modern administration practices. Trained in biology and mathematics, he brings analytical rigor and an appreciation for research-driven problem solving—an interest echoed by a GitHub-aligned research profile that connects software with real biological problems. Based in Great Neck, NY, he is known for delivering auditable, resilient database solutions under tight regulatory and operational constraints.
8 years of coding experience
Diploma Program, Biology / Data Processing, Diploma Program, Biology / Data Processing at New York UniversityBachelor of Arts, Biology, Mathematics, Bachelor of Arts, Biology, Mathematics at Barnard College of Columbia University
Github Skills (12)
expectation-maximization7
gaussian-processes7
bayesian4
python3
classification3
octave3
bayesian-inference2
spatial-analysis2
survival-analysis2
mcmc2
regression2
variational-inference1
Programming languages (2)
Github contributions (5)
chengl7/IniMotif
Nov 2019 - Jul 2023
Contributions:5 PRs, 26 pushes, 1 branch in 3 years 7 months
chengl7/LonGP
May 2018 - Mar 2021
Gaussian process regression + automatical model selection for logitudinal -omics data
Contributions:58 commits, 6 PRs, 67 pushes in 2 years 10 months
gaussian-processes
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