Instructors

Lorène Jeantet (AIMS)

It is during my PhD at Centre National de Recherche Scientifique (CNRS) in France that I discovered the world of deep learning while developing a model to automatically identify underwater behaviors of sea turtles from bio-loggers (animal-borne sensors). This experience ignited a passion within me to further enhance my expertise in deep learning, particularly in its application to conservation efforts. Currently, my research revolves around the creation of user-friendly tools based on deep learning techniques. The primary objective is to facilitate wildlife monitoring and streamline data processing in the field of ecology 

Sam Lapp (ESIIL, CU Boulder, US)

Sam's research leverages emerging artificial intelligence, machine learning, and automated sensing technologies to understand natural ecosystems and inform the conservation of biodiversity.  Sam is currently a postdoctoral research fellow at ESIIL, CU Boulder, where he is co-advised by Dr. Esther Rolf and Dr. Sara Beery. His current research projects focus on training machine learning models to extract rich insights from airborne LiDAR, providing user-friendly tools for analyzing passive acoustic monitoring datasets and developing automated methods for individual identification of birds by their vocal signatures