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about ESR(09) Ronrick Da-ano
PhD student at INSERM
Contributions to streamlined and optimised Radiomics platform: automated detection and segmentation in multimodal PET/CT/MRI images
Ronrick holds a BS in Mathematics (2006-2010), an MS in Statistics (2013-2016) and an MS in Applied Mathematics (2011-2016). He worked as a Data Scientist in the Philippines & Singapore for about 3 years. In his PhD project he will focus on the improvement of ComBat harmonization for Removing Batch Effects and explore different machine learning techniques using the new harmonized data.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 766276