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I am a PhD candidate (ABD) in Agricultural Water Management specializing in Bayesian ensemble modeling and remote sensing for sustainability quantification. I have six years developing remote sensing applications for agriculture and integrating probabilistic frameworks for uncertainty quantification at scale. I am proficient in spatial-temporal modeling using Stan, Python, R, and Google Earth Engine, with hands-on field experience managing 21 residual energy balance stations across five crop systems in California and Chile. I enjoy bridging rigorous analytics with practical field data to improve water management and crop productivity, and I collaborate across teams to share code and support multiple research projects.…I am a PhD candidate (ABD) in Agricultural Water Management specializing in Bayesian ensemble modeling and remote sensing for sustainability quantification. I have six years developing remote sensing applications for agriculture and integrating probabilistic frameworks for uncertainty quantification at scale. I am proficient in spatial-temporal modeling using Stan, Python, R, and Google Earth Engine, with hands-on field experience managing 21 residual energy balance stations across five crop systems in California and Chile. I enjoy bridging rigorous analytics with practical field data to improve water management and crop productivity, and I collaborate across teams to share code and support multiple research projects.

Lorenzo Cigarra Guíñez

Data Scientist, Programmer, Web Designer, +1

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I am a PhD candidate (ABD) in Agricultural Water Management specializing in Bayesian ensemble modeling and remote sensing for sustainability quantification. I have six years developing remote sensing applications for agriculture and integrating probabilistic frameworks for uncertainty quantification at scale. I am proficient in spatial-temporal modeling using Stan, Python, R, and Google Earth Engine, with hands-on field experience managing 21 residual energy balance stations across five crop systems in California and Chile. I enjoy bridging rigorous analytics with practical field data to improve water management and crop productivity, and I collaborate across teams to share code and support multiple research projects.…I am a PhD candidate (ABD) in Agricultural Water Management specializing in Bayesian ensemble modeling and remote sensing for sustainability quantification. I have six years developing remote sensing applications for agriculture and integrating probabilistic frameworks for uncertainty quantification at scale. I am proficient in spatial-temporal modeling using Stan, Python, R, and Google Earth Engine, with hands-on field experience managing 21 residual energy balance stations across five crop systems in California and Chile. I enjoy bridging rigorous analytics with practical field data to improve water management and crop productivity, and I collaborate across teams to share code and support multiple research projects.

Available to hire

I am a PhD candidate (ABD) in Agricultural Water Management specializing in Bayesian ensemble modeling and remote sensing for sustainability quantification. I have six years developing remote sensing applications for agriculture and integrating probabilistic frameworks for uncertainty quantification at scale.

I am proficient in spatial-temporal modeling using Stan, Python, R, and Google Earth Engine, with hands-on field experience managing 21 residual energy balance stations across five crop systems in California and Chile. I enjoy bridging rigorous analytics with practical field data to improve water management and crop productivity, and I collaborate across teams to share code and support multiple research projects.

Skills

Experience Level

Expert

Expert

Expert

Expert

Intermediate

Language

Spanish; Castilian

Fluent

English

Fluent

Work Experience

Visiting Researcher at University of California, Davis

March 1, 2023 - Present

Developed Bayesian Model Averaging framework integrating 7 satellite-based ET models with rigorous uncertainty quantification, reducing prediction error by 46% (NRMSE: 28% to 15%) in commercial citrus orchards. Implemented 18 model variants in Stan exploring calibration complexity (global, hierarchical, state-dependent architectures) and error structure specification (conditional independence vs. spatiotemporal dependencies) for spatial-temporal ET estimation. Managed field operations for 21 residual energy balance stations across 5 crop types (citrus, pistachio, hazelnut, almond, winegrape) in California and Chile, including installation, maintenance, and data curation. Designed quality control pipelines for residual energy balance stations following FLUXNET protocols, ensuring data integrity across multi-year datasets. Provided programming mentorship to 2 undergraduate researchers in R and Python; shared operational model code supporting 2 additional research projects.

Research Technical Support at Universidad de Concepción – CHILE FLUX Network

March 1, 2022 - February 28, 2023

Estimated instantaneous surface energy balance components and daily evapotranspiration at national scale using Google Earth Engine for climate change monitoring network across Chile.

Lab Instructor – Environmental Modeling at Universidad de Concepción

March 1, 2022 - August 31, 2022

Taught practical environmental modeling in MATLAB to Environmental Engineering students, developing course materials and laboratory exercises.

Research Technical Support at Centro del Agua para la Agricultura – Water Security Project

January 1, 2021 - April 30, 2022

Analyzed water resource management databases for National Water Security Plan development, supporting drought management strategies for Latin American countries (IDB-funded project).

Research Technical Support at Universidad de Concepción – H2Org & Satellite Platform Projects

December 1, 2019 - June 30, 2021

Implemented SEB-PV (Surface Energy Balance for Partially Vegetated surfaces) model using satellite imagery and Google Earth Engine for operational water allocation tool. Collaborated with multi-university consortium (5 Chilean institutions) on satellite agricultural platform for national crop water requirement monitoring.