Renan Macedo
About Renan Macedo
Renan Macedo is a data scientist with extensive expertise in agricultural research and machine learning. He has developed AI solutions for plant health and currently works at Semios in Canada, focusing on integrating machine learning with biological models.
Work at Semios
Renan Macedo has been employed as a Data Scientist at Semios since 2021. In this role, he focuses on integrating machine learning with mechanistic and biological models to improve predictive capabilities in agriculture. His work involves utilizing advanced data analysis techniques to support agricultural practices and enhance crop health monitoring.
Education and Expertise
Renan Macedo has a strong educational background in agricultural sciences and data science. He earned a Doctor of Philosophy (PhD) in Plant Protection (Epidemiology) from Universidade Federal de Goiás from 2015 to 2018. He also holds a Master's degree in Agronomy with a focus on Entomology from Universidade Federal de Lavras, completed from 2011 to 2013. Additionally, he achieved a Machine Learning Nano Degree from Udacity in 2018, specializing in machine learning applications in Python.
Background
Prior to his current position, Renan worked as a Data Scientist at Agrosmart S.A from 2018 to 2020, where he developed AI solutions using classification models and spatiotemporal analysis to tackle challenges in plant health. He also served as a lecturer at Faculdade Araguaia, teaching Experiments and Statistics from 2017 to 2018.
Achievements
Renan Macedo has received several international awards in the United States and the United Kingdom for his contributions to plant-environment interactions and plant-pathogen research. His expertise in analyzing multi-spectral and hyper-spectral satellite imagery has further advanced the understanding of environmental factors affecting agriculture.