Summary
Erdem Karaköylü is a data scientist with 11 years of experience who brings a rare blend of deep-sea science and modern ML: a PhD in Biological Oceanography from Scripps and a track record building probabilistic, causal, and graph-based solutions for satellite and ecological data. He has delivered research-grade algorithms at NASA Goddard and enterprise analytics at Research Innovations, and now consults freelance while continuing to push Bayesian methods and deep learning into applied environmental problems. Comfortable with Python, pandas, scikit-learn, and PyMC3, he focuses on uncertainty-aware products—turning noisy ocean color and ecological simulations into usable, synoptic insights. Fluent in both academic research and production software, he often bridges domain knowledge and engineering to make complex, physics-informed models operational. An early career in field-based plankton ecology and even unit command in the military contribute to his pragmatic, systems-level view of problem solving.
11 years of coding experience
21 years of employment as a software developer
French Baccalaureate, Biology and Mathematics, French Baccalaureate, Biology and Mathematics at Lycée Antoine de Saint-Exupéry de Santiago
University of California, San Diego
Bachelor of Science (B.S.), Oceanography, Bachelor of Science (B.S.), Oceanography at Florida Institute of Technology
Bachelor of Arts, Business Administration, Bachelor of Arts, Business Administration at Eastern Mediterranean University
French, Turkish, Spanish