Maria Victoria Diaz Lopez

Maria Victoria is a Research Associate in the Data Science Team from Climate Action program, specializing in the development of landraces and crop wild relatives gap analysis methodologies, spatial analysis and visualization, and crop and climate modeling.

She holds a Bachelor Degree in Statistic from Universidad del Valle in Cali, Colombia, and a Master Degree in Data Science from Universitat Oberta de Catalunya in Spain, with experience in Bayesian and Classical Statistical Inference; Multivariate Statistical Analysis; Time Series Analysis; Experiment Design; Machine Learning and Deep Learning techniques for prediction, forecast and images recognition; data science softwares as R, Python, SQL (also with Pentaho); non relational databases as MongoDB, Neo4J and Pyspark; and GIS softwares as ArcGIS and CARTO.

She has been supporting different activities like: the improvement of code and methodology for projects like Excellence in Agronomy and the Aclimate Platform, and the creation of workshops to share the gap analysis methodology and outputs to different CGIAR institutes.