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Biography

I'm a research scientist in CSIRO's Agriculture & Food working to improve farming decision-making with intelligent agricultural systems. I have experience with big data analytics, such as machine learning (random forest, XGBoost) and deep learning (MLPs and CNNs), data handling (SQL, Python – pandas and geopandas – and R – tidy universe), and crop modelling (APSIM and DSSAT). I integrate data from multiple sources such as orbital and proximal remote sensing, industry, climate, and market data to generate solutions for the ag sector. Previously, I worked calibrating crop models (DSSAT-CROPGRO for soybean yield estimations) and applying artificial intelligence algorithms to remote sensing data to quantify crop production (map and predict soybean yield) in Brazil.

Academic Qualifications

  • 2012

    Bachelor Degree - Agricultural Engineer
    State University of West Parana - Brazil

  • 2015

    Master Degree - Agricultural Engineer
    State University of West Parana - Brazil

  • 2018

    PhD - Agricultural Engineer
    State University of West Parana - Brazil

Achievements and Awards

  • 2017-2017

    First Place for Best Oral Presentation – Graduate Student Competition
    Agronomy Society of America – Airborne and Satellite Remote Sensing Community

  • 2012-2012

    Third Place for best student - Agricultural Engineering Undergraduate
    State University of West Parana - Brazil

  • 2020-2020

    Outstanding Young Professionals Volunteer Award
    IEEE Western Australia Section

Current Roles

  • Research Scientist
    Project leadership and managment. On-farm performance and assessment of impact of technology. Impact of Frost and Heat in cropping systems.

Grants

  • 2022-2024

    Assessmente of On-Farm Performance and Adoption of Technology

  • 2023-2026

    New methods to detect and cope with Extreme climate events in cropping systems