Mauricio Zambrano-bigiarini

Associate Researcher

Temuco, Araucania Region, Chile
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Summary

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Senior
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Mauricio Zambrano-Bigiarini is an Associate Researcher and civil engineer with a PhD in Environmental Engineering and over 20 years of experience in water resources, specializing in development, implementation and assessment of hydrological models. Based in Temuco, Chile, he combines academic roles (associate professor) with applied research at the Center for Climate and Resilience Research, focusing on spatio-temporal drought monitoring, extreme-precipitation impacts and catchment responses. He brings deep expertise in global optimization and sensitivity analysis methods (PSO, DE, SCE-UA, SCEM, DREAM, Sobol, LH-OAT) and develops open-source R tools and packages to manage and analyze hydro-meteorological data. Known for bridging theory and practice, he leverages gridded datasets (P, ET, SM) at multiple scales to translate model diagnostics into actionable water-resource insights. A less obvious strength is his sustained track record across academic, governmental and European research institutions, enabling him to navigate both policy-relevant and methodological challenges.
code15 years of coding experience
job23 years of employment as a software developer
bookCivil Engineer, Civil Engineer at Universidad de Concepción
bookPhD, PhD at Doctoral School in Environmental Engineering, Faculty of Engineering, Università degli Studi di Trento, Trento, Italy
languagesSpanish, English, Italian
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Github Skills (26)

r-package10
r10
particle-swarm-optimization10
hydrology10
goodness-of-fit10
hydrology-statistical10
raster9
time-series9
spatial9
random-forest8
vector8
spatial-data8
jekyll8
geospatial8
ubuntu6

Programming languages (3)

RC++CSS

Github contributions (5)

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hzambran/hydroGOF

Dec 2010 - Jan 2023

Goodness-of-fit functions for comparison of simulated and observed hydrological time series
Contributions:7 releases, 1 review, 313 commits in 12 years 3 months
goodness-of-fittime-series
hzambran/hydroTSM

Jan 2015 - Dec 2022

Time Series Management and Analysis for Hydrological Modelling
Contributions:5 releases, 242 commits, 298 pushes in 8 years
time-serieshydrologyhydrology-modelinghydrology-statisticalr
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