Ines Adriaens is a Senior Data Scientist with eight years’ experience turning high-frequency on-farm sensor data into actionable decision support for the dairy sector. She combines advanced time-series and machine learning modelling with deep domain knowledge of dairy cow biology, developing solutions for fertility monitoring, udder health, transition ease and lifetime resilience. Her work spans academia and industry—from leading livestock technology teams and supervising PhD students to building applicable tools at Wageningen Livestock Research and CRV—focused on cost-efficient, scalable precision livestock farming. Known for integrating animal- and sensor-level variability into models, she emphasizes contextualized, farm-tailored outputs that respect economic and legislative boundaries. A practical problem-solver, she also secures funding and builds interdisciplinary teams to accelerate sustainable milk production.
7 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Bioscience Engineering, PhD, Doctor of Philosophy - PhD, Bioscience Engineering, PhD at KU Leuven
Latijn-Wiskunde, Latijn-Wiskunde at Sint-janscollege Meldert
Query to run in SSMS to mine the farm .bak files and extract tables
Contributions:1 PR, 1 push, 2 branches in 5 months
querymysqlssmsextract-tablesfarm
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