I am a Senior Data Scientist at adidas in the Global Digital Data Science team in Amsterdam where I am responsible for the technical lead of two demand forecasting products. Prior to joining adidas, I completed my Engineering Doctorate (EngD) in Data Science at Eindhoven University of Technology, where I worked on projects for companies like ASML (2x), Van Lanschot, TE Connectivity, Heijmans, and FIOD. Before the EngD, I conducted deep learning research on anomaly detection in time series data and completed my Master’s and Bachelor’s degree in Electrical & Computer Engineering at Instituto Superior Técnico (Portugal). Meanwhile, I was lucky to have spent a semester at Université Catholique de Louvain (Belgium). 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!
|Sep 22, 2023||We presented our adidas X AWS paper on “Probabilistic Demand Forecasting with Graph Neural Networks” at ECML-PKDD23’!|
|Jun 20, 2023||Published a new Medium article: “Fine-tune MPT-7B on Amazon SageMaker”|
|Mar 20, 2023||I joined the AWS weekly series Build on Generative AI.|
|Mar 3, 2023||My Medium article on “Fast and scalable hyperparameter tuning and cross-validation in AWS SageMaker” is out!|
|Jan 15, 2023||I took up a new role at adidas as Senior Data Scientist!|
|Mar 15, 2021||I joined adidas as a Data Scientist in Amsterdam.|
- Probabilistic Demand Forecasting with Graph Neural Networks citationsIn ECML-PKDD 2023 International Workshop on Machine Learning for Irregular Time Series 2023
- Unsupervised Anomaly Detection in Energy Time Series Data Using Variational Recurrent Autoencoders with Attention 147 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 65 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