Summary
Lotte Van Boheemen is a Tech Lead in Data Science with over a decade of experience and two decades of big data expertise, currently shaping generative AI and AIOps-driven solutions for the Olympic digital experience. She combines a Ph.D. in Computational Evolutionary Genomics with hands-on engineering in Python, R, SQL and AWS to design production-ready frameworks for LLMs, forecasting, personalization and anomaly detection. At Olympics.com she mentors data scientists and partners closely with engineers and product teams to turn complex experimentation and large-scale data into actionable features. Her background in academic research and science communication means she brings rigorous experimental design and clear storytelling to applied AI projects. Colleagues benefit from her rare blend of deep research training and practical delivery focus across analytics, ML and cloud-native deployment.
11 years of coding experience
5 years of employment as a software developer
Master of Science (M.Sc.), Ecology and Evolutionary Biology, Dutch grade: 8.2 | USA grade: A/A+, Master of Science (M.Sc.), Ecology and Evolutionary Biology, Dutch grade: 8.2 | USA grade: A/A+ at Rijksuniversiteit Groningen / University of Groningen
Bachelor of Science (B.Sc.), Biology, General, Dutch grade: 7.6 | USA grade: A, Bachelor of Science (B.Sc.), Biology, General, Dutch grade: 7.6 | USA grade: A at Universiteit Utrecht / University of Utrecht
Doctor of Philosophy (Ph.D.), Computational Evolutionary Genomics, Doctor of Philosophy (Ph.D.), Computational Evolutionary Genomics at Monash University
Dutch, English, Spanish, German, French, Swedish, Chinese