Computational Population Biology Group
Brilliant Minds Working Together
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.
PhD Student
Since 2021
High-dimensional brain MRI measurements for genetic analysis
PostDoc
Since 2019
3D facial analysis
PostDoc
Since 2020
3D skull analysis
PhD Student
2018 - 2023
Interpretable Machine Learning in Genomics
PhD Student
2021 - 2024
Deep Learning application for methylation analysis
Master Student
2021 - 2022
Expanding GenNet framework for phenotype prediction
Master Student
2020 - 2021
Variational autoencoder for a compact representation of the genome
Master Student
2020
Predicting Alzheimer Disease outcomes from brain MRI and genomics using convolutional networks
Master Student Internship
2020
2D Facial Shape Analysis
Master Student
2020 - 2021
Deep learning method for automated bone age inference
Master Student Internship
2020
Deep learning algorithm for facial shape reconstruction
Master Student
2020 - 2021
Predictive modelling of the face from DNA using a deep learning approach
Master Student
2020 - 2021
Cell type enrichment in brain related phenotypes
Master Student Internship
2021
Semi-supervised learning for analysis of face and patient characteristics
Visiting Postdoctoral Researcher (2021-2024)
Artificial Intelligence for Genetics in Alzheimer's disease
Master Student, VU Amsterdam (Since 2022)
GWAS driven Neural Networks for complex trait analysis
Bachelor Student (2021)
Improving the genetic risk prediction of diabetes type II with neural networks
Bachelor Student (2021)
Improving the genetic risk prediction of dementia with neural networks
Bachelor Student (2021)
Detection of Copper Beaten Appearance from skull radiographs
Master Student Internship (2021)
The use of Artificial Intelligence for 2D image analysis of facial reconstruction results
Master Student Internship (2021)
3D technology for optimizing and analyzing facial reconstructions
Master Student Internship (2019)
High dimensional 2D facial image analysis using machine learning approaches
Master Student Internship (2019)
The effect of alcohol consumption during pregnancy on the 3D facial morphology of children
Master Student (2017-2018)
Gray matter age prediction as a biomarker for risk of dementia
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.