Summary
Arne Monsees is a Data Science Associate with a decade of hands-on experience applying ML, GNNs and computer vision to biomedical problems at the intersection of computer and life sciences. He holds a Dr. rer. nat. in Computer Science and has led projects that segment high-resolution brain microscopy, predict novel edges in biomedical knowledge graphs, and estimate animal 3D pose and behavior from raw video. Fluent in Python and proficient across C++, Java, R and DevOps tooling, he deploys end-to-end solutions from model development to production in interdisciplinary teams. Known for turning complex imaging and graph data into actionable insights, he pairs academic rigor with practical product-driven impact in drug discovery and development.
10 years of coding experience
6 years of employment as a software developer
B.Sc., Integrated Life Sciences, 2.2 (GPA: 80/100), B.Sc., Integrated Life Sciences, 2.2 (GPA: 80/100) at FAU Erlangen-Nürnberg
Dr. rer. nat., Computer Science, Magna cum laude, Dr. rer. nat., Computer Science, Magna cum laude at University of Tuebingen
M.Sc., Integrated Life Sciences, 1.5 (GPA: 91/100), M.Sc., Integrated Life Sciences, 1.5 (GPA: 91/100) at University of Erlangen-Nuremberg