Chainarong Amornbunchornvej
Researcher at National Electronics and Computer Technology Center (NECTEC)
Khlong Luang, Pathum Thani, Thailand
Summary
👤
Senior🎓
Top SchoolChainarong Amornbunchornvej is a computational scientist and researcher with eight years' experience applying time series analysis, complex systems modeling, and bioinformatics to real-world problems at NECTEC. He holds a Ph.D. in Computer Science from the University of Illinois at Chicago and earlier engineering degrees from King Mongkut's Institute of Technology Ladkrabang, blending rigorous academic training with applied research. At NECTEC since 2019 he develops data-driven methods and analytical tools that bridge theoretical models and practical deployments. His work spans statistical and computational approaches to temporal data, with a particular interest in extracting structure from noisy biological and sensor signals. Based in Pathum Thani, Thailand, he combines deep quantitative skills with a systems perspective that emphasizes reproducibility and interdisciplinary collaboration. Colleagues describe him as a curious problem-solver who brings both mathematical rigor and engineering pragmatism to complex data challenges.
8 years of coding experience
Doctor of Philosophy (Ph.D.), Computer Science, 4.00, Doctor of Philosophy (Ph.D.), Computer Science, 4.00 at University of Illinois at ChicagoMaster of Engineering (M.Eng), Telecommunications Engineering, Master of Engineering (M.Eng), Telecommunications Engineering at King Mongkut's Institute of Technology Ladkrabang
Thai, English
Github Skills (10)
infer10
faction10
lag10
entropy10
causal-inference10
time-series9
causality9
data-storage9
r8
data-science5
Programming languages (1)
Github contributions (5)
DarkEyes/EDOIF
Oct 2019 - Mar 2021
Contributions:1 release, 101 commits, 97 pushes in 1 year 5 months
DarkEyes/mFLICA
Dec 2019 - Jan 2022
Given a set of time series of individual activities, our goal is to identify periods of coordinated activity, find factions of coordination if more than one exist, as well as identify leaders of each faction from a set of multivariate time series.
Contributions:39 commits, 25 pushes in 2 years 1 month
individualdata-sciencegoalcoordinationfaction
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