Théo is a Master's student specializing in robotics at EPFL, Switzerland, he tries to bring a fresh perspective to the challenges of urban sustainability. His French-Brazilian heritage, gave him an open-minded approach and motivation to solve concrete problems. His academic journey from Swiss Federal Institute of Technology Lausanne EPFL and Royal Institute of Technology Stockholm KTH combined with a fervent interest in AI, Computer Vision and Autonomous Robots, has led him to explore the transformative potential of these technologies in making a positive impact on the world. He previously did an internship at Roboat, where he focused on developing robust perception methods for boat detection.
At AMS Institute, Théo focuses on leveraging remote sensing data with multimodal deep learning for urban forest management in Amsterdam. His project investigates the efficiency of different methods in urban tree monitoring, fusing multiple modalities like Aerial LiDar and Multispectral satellite imagery for enhanced precision. This research is important for creating climate resilient cities, proposing solutions for thermal comfort and CO2 sequestration. This not only cools down our city and cleans the air but also teaches us how we can apply these lessons to other cities, especially those with tropical climates.
“At AMS Institute, I'm privileged to apply cutting-edge technology in real-world settings, striving for a sustainable urban future”