David Joiner
Professor at Kean University
New Providence, New Jersey, United States
Summary
👤
Senior🎓
Top SchoolDavid Joiner is a chemometrician and chemical data scientist with eight years of experience designing multivariate data analysis algorithms for chemical detection and identification products. He has acted as technical lead on time-sensitive, multimillion-dollar government contracts, coordinating cross-functional, global teams to deliver production-ready solutions. His technical toolkit includes MATLAB, C/C++, Java, and Python, with a focus on real-time data analysis pipelines and hardware-cost tradeoffs. He is currently at Signature Science, LLC, building chemometric solutions for detection technologies, after earlier roles at Smiths Detection where he led algorithm development for CBRNE threat identification. Based in Austin, Texas, he also serves as an associate professor of computational science at Kean University, highlighting his role in bridging industry innovation and academic research.
9 years of coding experience
5 years of employment as a software developer
University of Texas at San AntonioDoctor of Philosophy (Ph.D.), Physics, Doctor of Philosophy (Ph.D.), Physics at Rensselaer Polytechnic InstituteProgramming languages (1)
Github contributions (5)
joinerda/joinerda.github.io
Nov 2018 - Apr 2023
Build a Jekyll blog in minutes, without touching the command line.
Contributions:257 pushes in 4 years 5 months
jekyll-blogjekylljekyll-thememinutes
joinerda/unity-visualization-toolkit
Nov 2018 - Aug 2019
Contributions:13 commits, 11 pushes, 1 branch in 8 months
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