I am a PhD researcher at LIRIS, KU Leuven, specializing in Machine Learning for geospatial data and real estate, supervised by Jochen De Weerdt (KU Leuven) and Seppe vanden Broucke (UGent). I hold an MSc in Business and Information Systems Engineering from KU Leuven (2021).

My research focuses on developing AI-driven solutions for business, emphasizing model performance, interpretability, and uncertainty to tackle real-world challenges. I am passionate about leveraging data and machine learning to create meaningful impact, ensuring technology serves both business and societal needs in a responsible and effective way.

News

• [3/03/2025] Excited to share a personal project where I used satellite imagery to predict the Urban Heat Island (UHI) Index and deployed the ML model with Docker and Azure! Check it out here: UHI App.
• [22/11/2024] Our article was accepted at the International Journal of Data Science and Analytics.
• [31/05/2024] One paper accepted at the STRL workshop at IJCAI 2024.
• [8/06/2024] Our paper was accepted at Data Mining and Knowledge Discovery.
• [1/06/2023] One paper accepted at the STRL workshop at IJCAI 2023.
• [13/05/2023] Our paper was accepted at ISPRS International Journal of Geo-Information.
• [15/03/2022] My master’s thesis was accepted at the RCIS’22 Forum.
• [1/09/2021] I started my PhD!