Our Team

Computational Population Biology Group

Brilliant Minds Working Together

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.

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

Erasmus MC Medical Center

Current Team Members

Yu Jing

Yu Jing

PhD Student

Since 2021

High-dimensional brain MRI measurements for genetic analysis

Xianjing LIU (Lau)

Xianjing LIU (Lau)

PostDoc

Since 2019

3D facial analysis

Tareq Abdel Alim

Tareq Abdel Alim

PostDoc

Since 2020

3D skull analysis

Alumni

Arno van Hilten

Arno van Hilten

PhD Student

2018 - 2023

Interpretable Machine Learning in Genomics

Sonja Katz

Sonja Katz

PhD Student

2021 - 2024

Deep Learning application for methylation analysis

Renee van der Winden

Renee van der Winden

Master Student

2021 - 2022

Expanding GenNet framework for phenotype prediction

Dirk Kruit

Dirk Kruit

Master Student

2020 - 2021

Variational autoencoder for a compact representation of the genome

Bryan Lusse

Bryan Lusse

Master Student

2020

Predicting Alzheimer Disease outcomes from brain MRI and genomics using convolutional networks

Jessica Barends

Jessica Barends

Master Student Internship

2020

2D Facial Shape Analysis

Ilva van Houwelingen

Ilva van Houwelingen

Master Student

2020 - 2021

Deep learning method for automated bone age inference

Enzo Kerkhof

Enzo Kerkhof

Master Student Internship

2020

Deep learning algorithm for facial shape reconstruction

Guusje Jans

Guusje Jans

Master Student

2020 - 2021

Predictive modelling of the face from DNA using a deep learning approach

Erwin Erdem

Erwin Erdem

Master Student

2020 - 2021

Cell type enrichment in brain related phenotypes

Jasika Paramasamy

Jasika Paramasamy

Master Student Internship

2021

Semi-supervised learning for analysis of face and patient characteristics

Additional Alumni

Rafael Campos Martin

Visiting Postdoctoral Researcher (2021-2024)

Artificial Intelligence for Genetics in Alzheimer's disease

PengHao Xia

Master Student, VU Amsterdam (Since 2022)

GWAS driven Neural Networks for complex trait analysis

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

Marie-Claire Doornbos

Master Student Internship (2021)

The use of Artificial Intelligence for 2D image analysis of facial reconstruction results

Alexander Wakker

Master Student Internship (2021)

3D technology for optimizing and analyzing facial reconstructions

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

Saskia van Heumen

Master Student Internship (2020)

2D facial image analysis pipeline

Note: Some team members like Xianjing LIU (Lau) and Tareq Abdel Alim have transitioned from PhD students to PostDocs within our group, showing the continuous growth and development opportunities we provide.