About
Gennady Roshchupkin is an Assistant Professor at Erasmus MC, jointly affiliated with the Department of Radiology & Nuclear Medicine and the Department of Epidemiology. His research bridges medical imaging, genomics, and artificial intelligence to investigate complex diseases and developmental conditions.
His primary research interests include:
- Genome-wide association studies (GWAS)
- Medical imaging analysis using AI and neural networks
- Craniofacial synostosis and pediatric craniofacial development
- Alzheimer's disease and neurodegenerative disorders
- Gut microbiome and metabolic health across the lifespan
- Population-based epidemiological studies
The recent publications indicate a strong trend toward integrating AI with genetic and imaging data to uncover biological and clinical insights. His work frequently involves large-scale data analysis, latent-space modeling, and interdisciplinary collaboration across medicine, computer science, and public health.
Although no specific awards are listed in the provided text, his publications in high-impact journals such as The Lancet Regional Health - Europe and Medical Image Analysis reflect significant scholarly contributions. He has also supervised at least two research trainees or doctoral students.
Dr. Roshchupkin is actively engaged in clinical and population research, particularly in observational cohort studies and AI-driven medical image analysis. His work is supported by collaborations across departments and institutions, focusing on improving clinical outcomes through data science and precision medicine.
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