Dr. Gennady Roshchupkin
Computational Population Biology group leader
Erasmus MC Medical Center

Biography

Gennady is Assistant Professor and Computational Population Biology group leader at the one of the largest research medical hospital in Europe, Erasmus MC Medical Center. His research focused on developing and application of methods for the integrative analysis of large-scale biological, epidemiological and clinical data.

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

Since 2019 Gennady is chairing Machine Learning working group in The Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium

Since 2021 Gennady is also leading Bioinformatics Working group in Genomics of MusculoSkeletal traits Translational Network

Gennady is co-founder of Erasmus MC squAIre (Society for Quantitative Artificial Intelligence Research)

Areas of expertise

Genomics
Epidemiology
Medical Imaging
Data Science
Artificial Intelligence
Explainable AI

Education

Moscow State University
BSc, Theoretical Physics
September 2005 — September 2008
Moscow State University
MSc, Theoretical Astrophysics
September 2008 — January 2011
Erasmus University Rotterdam
PhD (cum laude)
Neuroscience and Genomics
March 2014 — September 2018

Experience

Assistant Professor
Erasmus MC Medical Center, Rotterdam, the Netherlands
Since January 2022
Departments of Epidemiology, Radiology and Nuclear Medicine
Computational Population Biology group leader
Erasmus MC Medical Center, Rotterdam, the Netherlands
Since March 2020
Departments of Epidemiology, Radiology and Nuclear Medicine
Postdoctoral Researcher
Erasmus MC Medical Center, Rotterdam, the Netherlands
March 2018 — March 2020
Departments of Epidemiology, Radiology and Nuclear Medicine
Senior Reseacher Engineer
Special Systems Engineering Center, Moscow, Russia
March 2013 — January 2014
Research and development engineer in the field of network security and mathematical modelling.
Participated in several projects, about machine learning and algorithm optimization for fast big data processing.
Research Engineer
Special Systems Engineering Center, Moscow, Russia
August 2011 — March 2013
Reseacher
Moscow State University, Moscow, Russia
September 2009 — February 2011
Department of Lunar and Planetary Research, Sternberg Astronomical Institute
Work in the project on the analysis of the satellite images.
Development of software for the analysis of a large number of images
Develop an algorithm to automatically search for specific patterns on the image and fast computation
Optimization of the theoretical model to estimate the age of rocks on the Moon
Reseacher
Moscow State University, Moscow, Russia
September 2008 — May 2009
Laboratory of Maidanak Observatory, Sternberg Astronomical Institute.
Work on construction of an accretion disks’ model of active galactic nuclei to determine the masses of black holes.
Reseacher
Moscow State University, Moscow, Russia
September 2007 — May 2008
Department of Extragalactic Astronomy, Sternberg Astronomical Institute. Conducted research on models of gravitational lenses to determine the masses of exoplanets.

Awards

Invited Talks

‍

  • HD-READY: High Dimensional researchin Alzheimer’s Disease, Rotterdam, Netherlands, 2014
  • HD-READY: High Dimensional researchin Alzheimer’s Disease, Rotterdam, Netherlands, 2015
  • Full-HD: Full exploitation of High-Dimensionality in brain imaging Rotterdam, Netherlands, 2017
  • Full-HD: Full exploitation of High-Dimensionality in brain imaging, Stockholm, Sweden, 2017
  • BRIDGE: BRain Imaging, cognition, Dementia and next generation GEnomics, Greifswald, Germany, 2017
  • BRIDGE: BRain Imaging, cognition, Dementia and next generation Genomics, Graz, Austria, 2018
  • Invited lecturer, Cognomics Summer School 2018, Nijmegen, Netherlands
  • Invited lecturer, Neurepiomics Summer School 2018, Bordeaux, France
  • Session chair, “Better medicine through machine learning”, Health Science Research Day, Rotterdam, Netherlands, 2019
  • "Artificial intelligence inepidemiology: past, present and future”, Erasmus Summer Programme, Master Class lectures, Rotterdam, the Netherlands, 2019.
  • Workshop organizer, “Bringing Artificial Intelligence to biomedicine”, CHARGE conference, St. Luis, USA, 2019
  • Workshop GEMSTONE consortium,“Introduction to Deep Learning”, Malta, 2019
  • Mathematics of the MusculoSkeleton: Post-Genome analysis for Bone Biology, “Explainable AI and distributed learning”, Israel, 2020
  • CHARGE consortium webinar, "Machine Learning projects within CHARGE: New horizons for consortium collaborations", the Netherlands, 2020
  • Online multi-omics data integration workshop series "Artificial Intelligence and multi-omics data: Better, Faster, Stronger", the Netherlands, 2021
  • CHARGE consortium webinar, "Cell-Type Enrichment in brain related phenotypes", the Netherlands, 2021
  • European Society Of Medical Imaging Informatics "Explainable AI and distributed learning", the Netherlands, 2021
  • NVIDIA GTC conference "Explainable Artificial Intelligence to unravel genetic architecture of complex traits", 2021
  • University College Dublin, “Deep Learning for Medical Image Analysis: What you Need to Know Before You Start”, Dublin, Ireland, 2021
  • University College Dublin, “Explainable AI: explainability is not the same as interpretability.”, Dublin, Ireland, 2021
  • Erasmus MC International Women Day "Challenges and possible solutions for Gender Equality", Rotterdam, the Netherlands, 2022
  • Young Medical Delta Symposium "Why epidemiology can save your AI career", Rotterdam, the Netherlands, 2022
  • ACE Alzheimer in collaboration with Alzheimer Nederland "Artificial Intelligence based methods of Imaging Genetics in dementia research", Rotterdam, the Netherlands, 2022
  • TechLabs Rotterdam "Back to the Future: AI in Healthcare", Rotterdam, the Netherlands , 2022
  • Netherlands Consortium of Dementia Cohorts General Assembly "How AI methods can reshape future research in Epidemiology", Leiden, the Netherlands 2022
  • ICAI Deep-Dive Data Series III: Working with Medical Data "Everything new is well forgotten old: what we can learn from the meta-analysis studies", Nijmegen 2022
  • Almende BV seminar: "Better, Faster, Stronger: AI in Healthcare", Rotterdam, 2022
  • Convergence lecture "AI in Healthcare", den Haag, 2022
  • CHARGE consortium lecture “What doesn't kill you makes you stronger or how to survive AI revolution”, Rotterdam, 2023
  • Erasmus MC SQuAIRe community seminar lecture “All you need to know about AI and Machine Learning”, Rotterdam, 2023
  • Sophia Hospital Child Brain Lab "All you need to know about Machine learning and artificial intelligence", Delft, 2023
  • Rotterdam School of Management, Erasmus University, "AI in Healthcare", Rotterdam, 2023
  • Department of Gastroenterology and Surgery Erasmus MC "Good research in machine learning", Rotterdam, 2023
  • Department of Urology Erasmus MC "Demystifying AI", Rotterdam, 2023
  • University College Dublin "Explainable AI interpretability is not the same as explainability", Rotterdam, 2023
  • The Royal Batavian Society of Arts and Sciences (ISHA )"Explainable Artificial Intelligence For Genomics Analysis", Rotterdam, 2023
  • Department of Internal Medicine, Innovation Network "AI for internal medicine department", Rotterdam, 2023
  • Cost Action GEMSTONE "Genomics in the deep learning era", Utrecht, 2023
  • Heart-Brain Connection Consortium "Future of the Brain: Use AI in Brain Research", Amsterdam, 2023
  • Rotterdam Square, Japan biotech delegation to NL "AI in Erasmus MC", Rotterdam, 2023
  • Department of Gynaecology Erasmus MC "The Art of AI-Driven Healthcare: Navigating through Modern Medicine with Ancient Wisdom", Rotterdam, 2023
  • Young @ Heart NL "The Art of AI-Driven Healthcare", Utrecht, 2023
  • Tannet "The Art of AI-Driven Healthcare: Navigating through Modern Medicine with Ancient Wisdom", Amsterdam, 2024
  • Rotterdam Square "House of Cards The Fragile Foundation of AI in Medical Research", Rotterdam, 2024
  • ERGO Core Facility Management Day "MEGA: Make ERGO Great Again", Rotterdam, 2024

Videos

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