Nolan Ung
Senior Manager Of Data Management And Analytics
Los Angeles Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolNolan Ung is a Ph.D.-trained scientist and data leader with eight years of experience bridging wet-lab molecular biology and computational analytics to drive insights in hematology and immunology. As Senior Manager of Data Management and Analytics, he leads a team that builds R/Shiny tools, implements data QA pipelines, and accelerates complex single-cell and drop-seq analyses for translational research. He combines hands-on expertise in molecular techniques (flow cytometry, qPCR, cloning) and single-cell genomics with Matlab- and machine-learning–driven image analysis to identify aberrant organelle phenotypes and prioritize drug targets. Nolan is known for translating technical methods into usable apps and training programs that raise team-wide computational literacy, and he has a track record of turning interdisciplinary collaborations into publishable discoveries.
8 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Botany/Plant Biology, Doctor of Philosophy (Ph.D.), Botany/Plant Biology at University of California, Riverside
English
Github Skills (6)
r8
stable8
knitr7
data-visualisation7
data-wrangling7
data-visualization5
Programming languages (2)
Github contributions (5)
cammlab/Intro-to-R-for-Bench-Biologists
Aug 2019 - Oct 2019
Contributions:38 commits, 12 pushes in 1 month
nung001/r-novice-gapminder
Feb 2021 - Mar 2021
R for Reproducible Scientific Analysis
Contributions:1 push, 3 branches in 10 days
scientific-analysisreproduciblescientific
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