Machine Learning Lab board

Machine Learning Lab Board

The Machine Learning Lab (MLL) coordinates and monitors key activities for its community, allocates resources and decides on further direction.
The Machine Learning Lab (MLL) coordinates and monitors key activities for its community, allocates resources and decides on further direction.
The MLL offers researchers support in the field of machine learning and community building. In (hybrid) meetings, PhD students, postdocs and UMCG and UG staff meet to discuss the diverse aspects of machine learning in healthcare. In addition, members connect with each other in an online community, where knowledge and advice is shared.

The MLL board, currently consisting of seven members, is committed to organising interesting presentations, actively updating and structuring the online community, and considering additional services. Board members can be found below. 

Contact

Peter van Ooijen
Peter van Ooijen Professor of AI in Radiotherapy, Machine Learning Lab Coordinator and expert Machine Learning at the Data Science Center in Health (DASH)
Rosa Verhoeven PhD Candidate Pediatric Surgery and Neonatology and Chair of the Machine Learning Lab Board at the Data Science Center in Health (DASH)
Thijmen Kupers
Thijmen Kupers Data Scientist at the department of General Practice and the Data Science Center in Health (DASH), Machine Learning Expert at the Machine Learning Lab Board (DASH)
Alessia de Biase PhD candidate Deep Learning in Medical imaging and Presentation Coordinator of the Machine Learning Lab Board at the Data Science Center in Health (DASH)
Ashkan Nejad Early-stage Researcher at Royal Dutch Visio and Strategic Planner of the Machine Learning Lab Board at the Data Science Center in Health (DASH)
Femke van der Bij
Femke van der Bij Communications officer at the Research Office and Data Science Center in Health (DASH)