I am a Data Scientist at adidas in Amsterdam where I work on demand forecasting. Prior to joining adidas, I completed my Engineering Doctorate (EngD) in Data Science at Eindhoven University of Technology, where I worked on data science projects for multiple companies: ASML (2x), Van Lanschot, TE Connectivity, Heijmans, and FIOD-Belastingdienst (final project). Before the EngD, I conducted deep learning research focusing on anomaly detection in time series data and completed my Master’s and Bachelor’s degree in Electrical & Computer Engineering at Instituto Superior Técnico. I am broadly interested in the field of machine learning and its endless applications and passionate about turning cutting-edge research into products.
In my free time, I enjoy working out, meeting friends, traveling, and cooking new dishes.
Feel free to reach out to me with any queries!
|Mar 15, 2021||I joined adidas as a Data Scientist in Amsterdam.|
|May 20, 2020||Talk on "Anomaly Detection with Variational Autoencoders".|
|Dec 1, 2019||Gave a workshop on deep learning for the EngD Data Science. Check out the materials here.|
|Oct 27, 2019||We introduce Solar Scan! Check out the blog post.|
|Jul 1, 2019||I’ll be lab monitor at the Lisbon Machine Learning School - LxMLS’19. Join us in Lisbon!|
- Unsupervised Anomaly Detection in Energy Time Series Data Using Variational Recurrent Autoencoders with Attention 100 citationsIn 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA) Dec 2018
- Learning Representations from Healthcare Time Series Data for Unsupervised Anomaly Detection 34 citationsIn 2019 IEEE International Conference on Big Data and Smart Computing (BigComp) Feb 2019
- EngD ThesisFIOD Image Intelligence: An Application for Large-Scale Object Detection and AnalysisFeb 2021