Luis Fernando Delgado

MSc. Agro-industrial engineer with expertise in data handling, processing, and analytics of agronomic and quality traits in cassava breeding populations. Passionate about combining data-driven approaches with breeding population-based studies of economical traits, focusing on dry matter, yield, disease resistance, and postharvest quality traits.

My professional journey has involved extensive international collaborations in France, Asia, and the Americas, covering all stages from harvesting breeding populations to evaluating and characterizing agronomic and quality traits. Throughout my work, I have leveraged advanced approaches, digital tools, and data science techniques to conduct downstream analytics and generate valuable insights.

I am an avid user of R and Python, employing these powerful programming languages for data processing, analytics, modeling, visualization, communication, and reporting. With these tools, I am able to efficiently manipulate and analyze large datasets, develop statistical models, create compelling visualizations, and effectively communicate findings to diverse stakeholders.

My commitment lies in revolutionizing cassava agriculture and contributing to global food security. By utilizing data science methodologies and technologies, I aim to drive innovation in the field of cassava breeding, making a positive impact on the future of agriculture.