Driven by challenges, fueled by creativity, grounded in data.

I’ve more than 10 years of experience working in research laboratories and academia.

    1. Research Associate, San José State University, USA

      As a Research Associate, I design and implement end‑to‑end data pipelines that integrate multi‑scale environmental datasets—from land ecosystem outputs (CARDAMOM) to global ocean biogeochemistry and physics (ECCO‑Darwin). My work focuses on extracting, transforming, and coupling complex, high‑resolution data to quantify lateral fluxes of carbon and nutrients across the land–ocean continuum. By leveraging statistical modeling, geospatial analysis, and machine learning, I enable robust assessments of climate dynamics, support national‑scale carbon budget analyses, and inform data‑driven climate resilience and carbon dioxide removal strategies.

      • Data Science
      • Machine Learning
      • Geospatial Analysis
      • High‑Performance Computing
      • Environmental Modeling
      • Python

    1. Postdoctoral Scientist, NASA Jet Propulsion Laboratory, USA

      At NASA JPL, I worked on integrating riverine biogeochemical fluxes into the ECCO‑Darwin global ocean model, addressing a critical gap in how land–ocean connections are represented. My role focused on merging multi‑source observational data with high‑resolution ocean simulations to quantify the impacts of terrestrial carbon and nutrient inputs on global ocean biogeochemistry. Through this work, I developed and implemented robust data pipelines, conducted large‑scale analyses, and optimized model–data coupling techniques. The results improved coastal and open ocean carbon budget assessments and advanced our understanding of how land‑derived perturbations propagate throughout the ocean–climate system.

      • Data Science
      • Geospatial Analysis
      • Model–Data Integration
      • High‑Performance Computing
      • Carbon Cycle Modeling
      • Python

    1. Postdoctoral Scientist, La Rochelle Université, France

      At La Rochelle Université, I led research on the productivity dynamics of benthic microalgae across intertidal mudflats, leveraging hydrodynamic modeling (MARS‑3D), remote sensing, and biogeochemical data. My work focused on extracting and integrating multi‑source data to understand how light, tides, and temperature govern primary production and sediment dynamics. Through long‑term time‑series analyses, I also assessed the impacts of climate variability and change on benthic microalgal dynamics, shedding light on their role in land–ocean carbon exchanges. This work advanced our understanding of coastal ecosystem responses to environmental change and contributed to several interdisciplinary publications.

      • Time Series Analysis
      • Climate and Biogeochemical Modeling
      • Remote Sensing
      • R
      • Matlab

    1. Graduate Researcher, La Rochelle Université, France

      During my PhD, I explored the dynamics of benthic microalgae in temperate estuaries, focusing on their role in primary production and carbon cycling. I developed and implemented a coupled physical–biogeochemical model that linked light availability, hydrodynamics, and ecosystem metabolism, integrating satellite observations and in‑situ data. Through spatial and temporal analyses, I quantified the drivers of benthic productivity and laid the groundwork for representing land–ocean carbon connections in larger‑scale models. This interdisciplinary work combined remote sensing, statistical modeling, and field data to advance our understanding of coastal ecosystem dynamics.

      • Geospatial Analysis
      • Data Modeling
      • Remote Sensing
      • Matlab
      • R