Hector Castellanos

Computational Decision Scientist

Berkeley, California, United States
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Summary

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Senior
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Top School
Hector Castellanos is a research scientist with 14 years of experience blending academic rigor and applied public-health research, currently serving as Research Scientist IV at the California Department of Public Health. He holds a Ph.D. in Computer Science and spent seven years in research roles at UC Berkeley, where his work bridged computational methods and health metrics, reflected in publications indexed on ResearchGate and Google Scholar. His background in mechatronics and early industry consulting (including embedded PCB design and automotive electrical systems) gives him uncommon hands-on hardware and systems intuition for a computational researcher. Hector’s trajectory includes time at IHME and contributions to noisy-vision localization projects, signaling a pragmatic approach to building robust models and tools under real-world constraints. Based in Berkeley, he brings a hybrid skill set—deep quantitative research, systems engineering experience, and public-health impact—that helps translate complex analyses into operational policy insights.
code14 years of coding experience
job4 years of employment as a software developer
bookDoctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at Tecnológico de Monterrey
languagesEnglish, French
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Github Skills (26)

simulation10
visualization10
health10
python10
network-analysis10
r10
mathematica10
graph10
agent-based-modeling10
data-wrangling10
network10
data-visualization10
graph-theory10
drive9
data-analysis9

Programming languages (5)

RMathematicaHTMLJupyter NotebookPython

Github contributions (5)

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Chipdelmal/SplatStats

Sep 2022 - Jan 2023

Contributions:9 releases, 298 commits, 417 pushes in 3 months
Contributions:63 commits, 38 pushes in 3 years 4 months
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