I study the role of machine representation of knowledge and hypothesis in life sciences, metabolomics, drug discovery, and toxicology, involving cheminformatics, chemometrics and semantic web technologies. In the past, I have applied research on this also to QSAR and crystallography. Open source programming and Open science is also my main hobby, resulting in participation in, amongst many others, Chemistry Development Kit, WikiPathways, Bioclipse, BridgeDb, and others.
I’m currently doing my PhD at the department of Clinical Data Science. After some time outside of academia I recently decided to come back and I am very happy with that choice. My projects focus on making clinical data FAIR and integrating clinical knowledge into building and implementing an algorithm. I’ve been involved in OSC Maastricht since the very beginning because it’s my belief that research needs to be transparent and the results should be accessible to everyone if we want to advance science optimally.
Feel free to contact me with questions on open science, specifically on FAIR data.
Open Science Ambassadors
Open Science Ambassador FHML
Open Science policy and FAIR guidelines have been part of my work for more than 10 years. After a PhD and several post-doctoral positions in “big data” transcriptomics, my experience with handling data resulted in the development of the cBiT data repository, which shares biomaterial-based transcriptomics data. In my current position as a project leader at the MERLN Institute, I serve as data steward and coordinate MERLN’s data management activities in a strategy that embraces the FAIR guidelines.
Emmy van den Heuvel
Open Science Ambassador UM Campus Venlo
I work as an assistant professor at Maastricht University, University College Venlo. My teaching and research are focused on psychology and nutrition, and specifically the psychology of eating. In my position I find it important to teach students about the replication crisis and the importance of good quality (open) science.
Gerasimos (Jerry) Spanakis
Open Science Ambassador FSE
I am an assistant professor in Data Mining and Machine Learning working in a range of interdisciplinary projects with and outside UM. I support open, accessible, FAIR and societally relevant research which encompasses all research resources (data, software, process, publications). I also am the Chief Research Information Officer (CRIO) of UM leading the efforts for refining the I-strategy and I-agenda of the university.
Open Science Ambassador FDR
I am an Associate Professor in Criminal Law and Criminology and my research specialty is on art crime. I am currently the PI of an ERC-funded project looking at trafficking of antiquities, fossils, and collectable wildlife, and I am interested in exploring the adaptability of open science frameworks for complicated and sensitive social science fields such as my own. I hope to support colleagues in non-science disciplines to “open up” forms of data that they may not have considered sharing before.