Niels Scholten, MSc is a PhD Candidate in the Data Analytics department of JADS. His research centers around methods of monitoring and mitigating unfairness on machine learning models. He focusses on the challenges and difficulties faced by Data Scientists when applying research in ML Fairness in Real-World scenarios. Niels is working together with industry partners to develop a general fairness framework to provide guidelines to Data Scientists working with critical models. He is also researches specialized solutions in cases where the general framework might not apply.
JADS also participates in several (international) projects, which contribute to grand societal challenges like health, food security, smart transport and secure societies. Together with companies, government, NGO’s and other knowledge institutions, JADS works on solutions by using data.