Summary
Daniel Schürholz is a transdisciplinary postdoctoral researcher and data scientist with 10 years of experience applying machine learning, computer vision and remote sensing to marine ecology. He earned a PhD in Ecology from the University of Bremen after developing AI workflows to map coral reef and mangrove communities at scale, and now leads proximal sensing research for coastal habitat mapping at ZMT. Comfortable bridging academia and industry, he has a background in software development and project management across Peru, Germany and the US, and a multilingual Erasmus Mundus education in pervasive computing. Beyond research, he brings curiosity-driven creativity—evidenced by a startup win at MIT’s Global Startups Lab—and real-world grit from three years as a professional goalkeeper in Peru’s first division.
10 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Ecology, Doctor of Philosophy - PhD, Ecology at University of Bremen
Master of Science - MS, Computer Software Engineering, Master of Science - MS, Computer Software Engineering at LUT University
Master of Science - MS, Computer Systems Networking and Telecommunications, Master of Science - MS, Computer Systems Networking and Telecommunications at Universite de Lorraine
Master of Science - MS, Computer Systems Networking and Telecommunications, Master of Science - MS, Computer Systems Networking and Telecommunications at Luleå University of Technology
Master of Science - MS, Computer Software Engineering, Master of Science - MS, Computer Software Engineering at Deakin University
Bachelor of Science (B.Sc.), Computer Science, Bachelor of Science (B.Sc.), Computer Science at Universidad Católica San Pablo
Spanish, English, German