I am a Computer Science researcher specializing in robotics, computer vision, and machine learning for agricultural innovation. Over the past seven years, I’ve developed advanced methods to analyze environmental data—including temperature, humidity, aerial imagery (RGB, multispectral, thermal), satellite data (e.g., Sentinel), and LiDAR point clouds. My work focuses on creating novel technologies to monitor crop growth, enable early stress detection, and improve pest management, driving efficiency and sustainability in agriculture.

Beyond data analysis, I design electronics and control systems to optimize environmental conditions in greenhouses and phenotyping platforms. My greatest passion lies at the intersection of computer vision and aerial robotics, where I build cutting-edge solutions for the future of smart farming.

Interested in collaborating or discussing a project? I’d love to connect—feel free to reach out.