Juan C. Reyes

Originally from Mexico, I moved to Canada in 2002 and have been passionate about science ever since I can remember. I earned my Combined Honours degree in Physics and Mathematics from Dalhousie University in 2017, where I developed a strong foundation in analytical modeling and problem solving. Wanting to apply these skills to real-world spatial challenges, I pursued graduate studies at the Centre of Geographic Sciences (COGS) and later completed my Master of Science in Applied Geomatics at Acadia University. My research focused on applying machine learning and remote sensing techniques—such as satellite and LiDAR imagery—to environmental monitoring and spatial classification problems. Since then, I’ve been driven by a desire to apply math, physics, and data science to model both natural and human systems—revealing the often-invisible connections between people, places, and our planet. 

My career path has led me into the world of spatial data, where I combine GIS, Python, cloud computing, and AI to solve complex problems in public policy, conservation, and infrastructure planning. Whether automating LiDAR classification, visualizing electoral boundaries, or training machine learning models on satellite imagery, my goal is always to bridge the gap between science, data, and actionable insight.