Justin Rauh

Justin Rauh (he/him) was originally trained as a computer scientist. His research focuses on the intersection of marine conservation, education, and computer science with an emphasis on data science, machine learning, and marine robotics.

Justin earned his undergraduate degree from the University of Southampton, where he trained as a software engineer with an emphasis on cybersecurity. His master’s research focused on ultrasonic communication as a means for data theft and how machine learning can detect such illegal activities. 

After completing his studies, Justin joined the Seattle Aquarium’s Coastal Climate Resilience program as a special project volunteer. During his tenure, he developed a statistical program known as a Kalman filter to improve location data for an underwater, remotely operated vehicle that monitors the health of kelp forests in the Pacific Northwest.

At the Center for Ocean Solutions, Justin is developing a flexible machine learning model capable of improving the taxonomic resolution of environmental DNA analysis. The goal is for the model to incorporate the ecological data of species in a particular region of interest and therefore increase the accuracy of sample identification. Outside of work, Justin can be found volunteering at the Monterey Bay Aquarium, playing his bass with friends, or honing his skills as an underwater photographer.