Vincent Aarts studied electrical engineering and specialized in machine learning, signal processing and (nonlinear) dynamical systems engineering. During his studies, he was also an entrepreneur working on his own web company. He performed an internship in the Wearable Computing Lab at ETH Zürich in Switzerland and graduated cum laude for his master’s thesis performed at Philips Research Shanghai.
He has 8 years of experience in healthcare, performing research on the early detection of deterioration of patients using big data and leading a data science team developing contextual algorithms for a newly developed wearable biosensor. For this research, he lived for half a year in Boston, to collaborate with MIT to develop a large-scale machine learning and analytics framework using the Amazon cloud.
His goal is to transform data into knowledge, using data science. In doing so, he has over 10 patent applications. His interests are large-scale data analytics and visualization, context awareness and interpretable artificial intelligence.
He joined ASML in September 2018 as a senior data scientist and machine learning architect in the Data Science & Engineering group, where he defines and develops data science approaches to improve EUV source performance and diagnostics capabilities.