Experience

nuclivision

• Belgium
• Medical Equipment Manufacturing
• 1 - 100 Employee

• CEO

  • Jan 2023 - Present

  Gent, Vlaanderen, België As CEO of the young start-up nuclivision, I am responsible for the everyday operations of the company. Fully committed to developing and marketing our computer vision software to make nuclear medicine more accessible and safer.

• Senior Data Scientist

  • Oct 2022 - Feb 2023

  Gent, Vlaanderen, België As one of the first members of Visonar, my role as a senior data scientist covers a wide range of responsibilities. From configuring cloud instances to the development of commericial grade medical software to coaching junior data scientists. As a senior member, I am both involved in developing computer vision models and in setting up the product development roadmap. Biomedical imaging is a rapidly evolving field and therefore we are actively looking ahead to identify and anticipate new… Show more As one of the first members of Visonar, my role as a senior data scientist covers a wide range of responsibilities. From configuring cloud instances to the development of commericial grade medical software to coaching junior data scientists. As a senior member, I am both involved in developing computer vision models and in setting up the product development roadmap. Biomedical imaging is a rapidly evolving field and therefore we are actively looking ahead to identify and anticipate new technologies that will revolutionize the field of nuclear imaging.



Ghent University

• Belgium
• Higher Education
• 700 & Above Employee

• Doctoral Researcher

  • Oct 2017 - Oct 2022

  The aim of my PhD is to develop new machine learning algorithms to better understand what changes in DNA and RNA contribute to cancer progression. To build these models, I use a combination of clinical parameters, high-dimensional sequencing data and medical images such as MRI and pathology slides. Throughout my PhD I've had to report my findings to a broad, interdisciplinary audience consisting of computer science engineers, mathematicians, biologists and physicians. This has taught me a lot… Show more The aim of my PhD is to develop new machine learning algorithms to better understand what changes in DNA and RNA contribute to cancer progression. To build these models, I use a combination of clinical parameters, high-dimensional sequencing data and medical images such as MRI and pathology slides. Throughout my PhD I've had to report my findings to a broad, interdisciplinary audience consisting of computer science engineers, mathematicians, biologists and physicians. This has taught me a lot about the challenges of interdisciplinary communication. Show less