people
members of the lab or group
555 your office number
123 your address street
Your City, State 12345
layout: about title: about permalink: /
subtitle: Affiliations. Address. Contacts. Motto. Etc.
profile: align: right image: profile-2.JPG image_circular: true # crops the image to make it circular
news: true # includes a list of news items selected_papers: true # includes a list of papers marked as “selected={true}” social: true # includes social icons at the bottom of the page —
Hello 👋🏼!
I recently completed a double PhD at KU Leuven and Hasselt University, where my work centered on making data more accessible and impactful in healthcare.
My background in Industrial Engineering and Business Administration gives me a unique perspective on combining technical expertise with practical solutions—particularly in privacy-preserving data analysis, such as federated learning.
Beyond research, I enjoy collaborating with diverse teams to bring fresh insights to complex challenges. My goal is to bridge theory and real-world application, focusing on inclusive, cross-disciplinary approaches that truly make a difference in patient care. Whether exploring new Machine Learning Operations (MLOps) strategies or developing data-sharing pipelines, I’m always driven by the belief that thoughtful, collaborative innovation can advance healthcare in tangible ways.
555 your office number
123 your address street
Your City, State 12345
layout: about title: about permalink: /
subtitle: Affiliations. Address. Contacts. Motto. Etc.
profile: align: right image: profile-2.JPG image_circular: true # crops the image to make it circular
news: true # includes a list of news items selected_papers: true # includes a list of papers marked as “selected={true}” social: true # includes social icons at the bottom of the page —
Hello 👋🏼!
I recently completed a double PhD at KU Leuven and Hasselt University, where my work centered on making data more accessible and impactful in healthcare.
My background in Industrial Engineering and Business Administration gives me a unique perspective on combining technical expertise with practical solutions—particularly in privacy-preserving data analysis, such as federated learning.
Beyond research, I enjoy collaborating with diverse teams to bring fresh insights to complex challenges. My goal is to bridge theory and real-world application, focusing on inclusive, cross-disciplinary approaches that truly make a difference in patient care. Whether exploring new Machine Learning Operations (MLOps) strategies or developing data-sharing pipelines, I’m always driven by the belief that thoughtful, collaborative innovation can advance healthcare in tangible ways.