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Yvan Saeys

Yvan Saeys

Associate Professor, Ghent University

Education I obtained my PhD. in Computer Science from Ghent University. After spending time abroad at the University of the Basque Country and the Université Claude Bernard, I obtained a FWO postdoctoral fellowship at Ghent University. Since 2015 I have been an Associate Professor at the Faculty of Medicine at Ghent University and a Principal Investigator at the VIB Inflammation Research Center. I am heading the Data Mining and Modeling group, an interdisciplinary research team of 15 people consisting of mathematicians, computer scientists, engineers, and bioinformaticians.

Scientific Interest and Avenues for Collaboration The main research theme of my group is the design and application of data mining and machine learning techniques for high-throughput single-cell technologies. These include flow and mass cytometry based techniques but also single-cell transcriptomics platforms. Our group developed the FlowSOM and FloReMi R packages for flow cytometry visualization and biomarker discovery and obtained the best results at the FlowCAP IV challenge on predicting HIV to AIDS progression. We are actively welcoming collaborations with wet-lab groups that would like to explore computational flow cytometry, as well as experimentalists that design new technologies and willing to explore the potential of machine learning techniques for data analysis and interpretation.

Participation/Support of ISAC I participated in CYTO 2014, where I enjoyed the data analysis sessions and FlowCAP discussions. At CYTO 2016 my group had both an oral and a poster presentation. At CYTO 2017 my group has an oral presentation and a poster. Member of the ISAC Finance committee. Within ISAC I am actively promoting computational flow cytometry and assist in training the next generation of scientists to get acquainted with the novel tools that computational flow cytometry offers.

Website http://www.dambi.ugent.be