Wissenschaftlicher Mitarbeiter (Postdoktorand) at Universität Bremen
Bremen, Bremen, Germany
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Mareike Picklum is a research-driven computer scientist with 13 years of experience combining academic rigor and practical systems work, currently a postdoctoral researcher at Universität Bremen. She completed a M.Sc. in Computer Science and a doctorate focus at Bremen, with international study at UNSW, and has deep expertise in AI, natural-language understanding, probabilistic and statistical relational learning, and data mining. Her work blends strong Python and C++ engineering skills with theoretical foundations in probability theory and Markov logic, enabling translation of complex probabilistic models into applied research. Prior roles include a long tenure as a doctoral candidate leading ML and probabilistic knowledge processing projects and earlier hands-on systems administration in industry, reflecting both research depth and operational reliability. Colleagues describe her as methodical and curious—she often bridges theory and implementation in ways that make probabilistic AI tractable for real-world data.
13 years of coding experience
8 years of employment as a software developer
Master of Science (M.Sc.), Computer Science, Master of Science (M.Sc.), Computer Science at University of Bremen
Computer Science, Computer Science at UNSW Australia
Dr.rer.nat., Computer Science, Dr.rer.nat., Computer Science at Universität Bremen
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Mareike Picklum - Wissenschaftlicher Mitarbeiter (Postdoktorand) at Universität Bremen