Dr. Gennady Roshchupkin

Dr. Gennady Roshchupkin

Assistant Professor & Computational Population Biology Group Leader

Erasmus MC Medical Center, Rotterdam

About Me

I am Assistant Professor and Computational Population Biology group leader at one of the largest research medical hospitals in Europe, Erasmus MC Medical Center. My research focuses on developing and applying methods for the integrative analysis of large-scale biological, epidemiological and clinical data.

I have a broad background in statistics, computer science, machine learning, deep learning, medical image analysis and genomics.

Since 2019, I chair the Machine Learning working group in The Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium.

Since 2021, I lead the Bioinformatics Working group in Genomics of MusculoSkeletal traits Translational Network.

I am co-founder of Erasmus MC squAIre (Society for Quantitative Artificial Intelligence Research)

Member of The Biomedical Imaging Group Rotterdam (BIGR) operational board, responsible for Business Development.

I serve as an advisory board member of Erasmus MC Imaging Office, providing expertise in AI and medical imaging for comprehensive imaging services.

I am part of the management team of the Netherlands Women's Health Research & Innovation Center at Erasmus MC, contributing to advancing women's health through transdisciplinary research and innovative solutions.

Areas of Expertise

Genomics Epidemiology Medical Imaging Data Science Artificial Intelligence Explainable AI

Education

Erasmus University

PhD (cum laude) in Neuroscience and Genomics

Erasmus University Rotterdam

March 2014 – September 2018

Moscow State University

MSc in Theoretical Astrophysics

Moscow State University

September 2008 – January 2011

Moscow State University

BSc in Theoretical Physics

Moscow State University

September 2005 – September 2008

Professional Experience

Programme Manager AI Strategy for Research, Development and Innovation

NFU - Nederlandse Federatie van Universitair Medische Centra, Netherlands

August 2025 - Present · Part-time

As a Programme Manager for AI Research & Innovation, I spearhead the national effort to accelerate translational AI research across Dutch university medical centres (UMC's).

Assistant Professor

Erasmus MC Medical Center, Rotterdam, Netherlands

Since January 2022 - Present

Departments of Epidemiology, Radiology and Nuclear Medicine

Computational Population Biology Group Leader

Erasmus MC Medical Center, Rotterdam, Netherlands

Since March 2020

Departments of Epidemiology, Radiology and Nuclear Medicine

Postdoctoral Researcher

Erasmus MC Medical Center, Rotterdam, Netherlands

March 2018 – March 2020

Departments of Epidemiology, Radiology and Nuclear Medicine

Senior Research Engineer

Special Systems Engineering Center, Moscow, Russia

March 2013 – January 2014

Research and development in network security and mathematical modeling. Machine learning and algorithm optimization for big data processing.

Research Engineer

Special Systems Engineering Center, Moscow, Russia

August 2011 – March 2013

Researcher

Moscow State University, Moscow, Russia

September 2009 – February 2011

Department of Lunar and Planetary Research, Sternberg Astronomical Institute. Satellite image analysis, algorithm development for pattern recognition.

Awards & Recognition

Frans van der Helm Award for Best Young Researcher BME

2025

Starting Grant from Dutch Ministry of Education, Culture and Science (OCW)

2023

Erasmus MC Fellowship

2023

Prestigious Personal VENI Grant

2021

Tiger Webinar Series Award from CHARGE Consortium

2021

Radiology Imaging Program of Excellence

2020

Tiger Webinar Series Award from CHARGE Consortium

2020

International CHARGE Consortium Golden Tiger Contribution Awards

2018

Dutch Young eScientist Award (Second Place)

2018

Medical Delta Young Scientist Award (Second Place)

2017

Invited Talks

Selected highlights from international conferences and institutions

Featured Videos

See more on YouTube

Explainable AI and Distributed Learning

Artificial Intelligence and Multi-omics Data: Better, Faster, Stronger

Why Epidemiology Can Save Your AI Career

BIGR | Computational Imaging Genomics