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
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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
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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
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Research Scientist
Project leadership and managment. On-farm performance and assessment of impact of technology. Impact of Frost and Heat in cropping systems.
Grants
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2022-2024
Assessmente of On-Farm Performance and Adoption of Technology
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2023-2026
New methods to detect and cope with Extreme climate events in cropping systems
ORCID 0000-0003-2675-3425