Summary
Sebastiaan Vermeulen is a Staff Data Scientist with 11 years of experience applying econometrics, quantitative finance and machine learning to real-world problems, currently helping greenhouse growers boost yield and reduce operational risk at Source.ag. He combines academic rigor from a PhD on accountable deep learning in finance with hands-on engineering experience as a data engineer and software developer, enabling robust, production-ready models. Comfortable spanning research, feature engineering and deployment, he has a track record of improving scenario generators and building data-driven decision tools. Based in the Netherlands, he blends quantitative depth (MSc Econometrics, BSc Mathematics) with practical product impact across startups and research institutes. A tutor and former sous-chef turned scientist, he brings a pragmatic, service-oriented mindset and an unusual mix of teaching, leadership and field-facing experience.
11 years of coding experience
8 years of employment as a software developer
Camphusianum
Bachelor of Science (BSc) Wiskunde, Bachelor of Science (BSc) Wiskunde at University of Amsterdam
Master of Science (MSc) Econometrics - Quantitative Finance, Master of Science (MSc) Econometrics - Quantitative Finance at Erasmus School of Economics
Delft University of Technology
English, Dutch