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Vincent Nelis

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I spent about 10 years leading academic research on safety-critical embedded systems. I graduated 5 Ph.D. students and had leader roles in several EU-funded project (through programs like FP7 and H2020). My work was focused on designing and analysing low-level algorithms for mapping, scheduling, and sharing software - code and data - and hardware - cores, caches, memory buses, DDR, and NoCs - resources in safety and mission-critical embedded systems, targeting mostly the aerospace and automotive industry. I have authored 65+ articles in peer-reviewed journals and international conferences and received 8 international awards for my research. Throughout my academic experience, I have gained expertise in international safety and design standards such as the IEC-61508 for generic E/E/PE, the ISO-26262 and AUTOSAR for the automotive domain, and the DO-178B/C for the aeronautics domain.

Before earning my Ph.D. degree in computer science in 2010, I also specialised in AI and operational research. In 2017, I decided to reorient my career towards industry and in particular, data science. I worked for a FinTech company and acquiring bank (Wirecard AG) as Data Scientist for more than a year. My role was to apply state-of-the-art machine learning techniques on transaction data to identify competitive markets and then model the purchase behaviour of consumers within those markets. I provided critical business insights to senior management such as customer segmentation, lifecycle, lifetime value forecasts, retention rates and churn risks. I also helped discover hidden patterns in consumer trends, affinities, and interests and used this knowledge to provide product recommendation and increase the overall ROI of marketing campaigns with more accurate customer targeting. My biggest achievement in this position was the design of a new ML technique for understanding customers engagement with any of our merchant. The knowledge of the customers lifecycle stages and the prediction of their lifetime value was a key input for driving marketing campaigns.