Want to join the team?

We're always looking for talented and motivated students to join our team in our quest to understand the human genome and genetic architecture of complex traits and diseases. You'll get to work in a highly collaborative environment at the interface of computer science, biology and epidemiology.

Erasmus MC belongs to the 10 biggest medical schools in the European Union as measured by number of publications and it is the most successful continental European med school within the Horizon2020 theme Health, Demographic Change & Wellbeing.

When judged for its scientific publications and scientific impact alone it beats many of its more famous peers. The overall research aim of Erasmus MC is to translate bench discoveries to bedside publications and covers all fields from preclinical via clinical to health sciences research.

See our recent publications and research projects to learn more about our work. Our group has strong collaborations with other leading Universities and Medical Centers across the whole World.

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Please contact Dr. Roshchupkin if you are interested or have any questions.

Team members

Arno van Hilten
PhD student
Since 2014
Interpretable Machine Learning in Genomics
Yu Jing
PhD student
Since 2021
High-dimensional brain MRI measurements for genetic analysis
Xianjing LIU (Lau)
PhD student
Since 2019
3D facial analysis
Tareq Abdel Alim
PhD student
Since 2020
3D skull analysis
Sonja Katz
visiting PhD student
Since 2021
Deep Learning application for methylation analysis
PengHao Xia
Master Student (VU Amsterdam)
Since 2022
GWAS driven Neural Networks for complex trait analysis
Rafael Campos Martin
visiting Postdoctoral researcher
Since 2021
Artificial Intelligence for Genetics in Alzheimer’s disease

Alumni

Renee van der Winden
Master student
2021 - 2022
Expanding GenNet framework for phenotype predicition
Dirk Kruit
Master student
2020 - 2021
Variational autoencoder for a compact representation of the genome
Guusje Jans
Master student
2020 - 2021
Predictive modelling of the face from DNA using a deep learning approach
Erwin Erdem
Master student
2020 - 2021
Cell type enrichment in brain related phenotypes
Eliza Agus
Bachelor student
2021
Improving the genetic risk prediction of diabetes type II with neural networks
Lisa van Gaalen
Bachelor student
2021
Improving the genetic risk prediction of dementia with neural networks
Merel Jongmans
Bachelor student
2021
Detection of Copper Beaten Appearance from skull radiographs
Jasika Paramasamy
Master student internship
2021
Semi-supervised learning for analysis of face and patient characteristics
Marie-Claire Doornbos
Master student internship
2021
The use of Artificial Intelligence for 2D image analysis of facial reconstruction results
Ilva van Houwelingen
Master student
2020 - 2021
Deep learning method for automated bone age inference.
Bryan Lusse
Master student
2020
Predicting Alzheimer Disease outcomes from brain MRI and genomics using convolutional networks
Jessica Barends
Master student internship
2020
2D Facial Shape Analysis
Alexander Wakker
Master student internship
2021
3D technology for optimizing and analyzing facial reconstructions
Guusje Jans
Master student internship
2020
2D facial image analysis pipeline
Vito van Dal
Master student internship
2019
High dimensional 2D facial image analysis using machine learning approaches
Juliana Sabelis
Master student internship
2019
The effect of alcohol consumption during pregnancy on the 3D facial morphology of children;
Enzo Kerkhof
Master student internship
2020
Deep learning algorithm for facial shape reconstruction
Saskia van Heumen
Master student internship
2020
2D facial image analysis pipeline