Yves Moreau
Research
My research focuses on AI algorithms and software platforms for the integration of complex data in clinical genomics and drug discovery: (1) federated analysis of real-world clinical and genomic data, (2) data fusion algorithms for the identification of pathogenic genetic variation in rare genetic disorders and liquid biopsies, and (3) data fusion for drug discovery and drug design. At the algorithmic level, I focus on the development of novel AI methods, such as deep learning and Bayesian matrix factorization, for the fusion of heterogeneous sparsely-observed data; and on privacy-preserving implementations of such methods. I aim at demonstrated clinical or industrial applicability of our methods and proven effectiveness in human genetics research and drug discovery.
I am also a tech innovator interested in identifying relevant business models for emerging technologies and developing projects up to the precompetitive stage and the startup of university spin-offs. I am a co-founder of Data4S, a data mining company specialized in fraud detection and anti-moneylaundering, which is now part of BAE Systems, Detica NetReveal. I am also a co-founder of Cartagenia, specialized in ICT solutions for clinical genetic diagnosis.
I am engaged in a reflection on how information technology and artificial intelligence are transforming our world and on how to make sure this transformation is beneficial for all. In particular, I am actively pushing back against the emergence of surveillance societies that has been made possible by such technological advances. For these activities, see my press portfolio.
Current research team
Muhammad Quamber Ali, Kevin Bardool, Edward De Brouwer, Andras Formanek, Hannah Rosa Friesacher, Susan Ghaderi, Benjamin Huremagic, Martijn Oldenhof, Antoine Passemiers, Ashkan Pirmani, Daniele Raimondi, Nishkala Sattanathan, Nora Verplaetse, Goran Vinterhalter
Active projects
- AI-guided computational design of anti-virulence proteins as sustainable alternative antibacterials
- AIDD - Advanced machine learning for Innovative Drug Discovery
- ELIXIR Infrastructure - ELIXIR Infrastructure for Data and Services to strengthen Life-Sciences Research in Flanders
- Enhancer-AI - AI-driven modelling and design of cell type specific enhancers for gene therapy
- FAIR 2-0 - AI Research Program
- MICADO - Multiomic Integration of cell-free DNA profiles to Advance Disease Outcome
- SymBioSys4 - SymBioSys: Computationally mapping genomic heterogeneity from long read sequencing data
Finished projects
- Bioinformatics for single-cell genome sequence analyses and High-throughput mRNA sequencing
- Federated cloud-based Artificial Intelligence-driven platform for liquid biopsy analyses
- 3UTR - Tissue-specific choice of 3
- AMBioRICS - Algorithms for Medical and Biological Research, Integration, Computation and Software
- ATHENA - Augmanting Therapeutic Effectiveness through Novel Analytics
- BioMaGNet - Bioinformatics and Modeling: from Genomes to Networks
- BIOPTRAIN - Bioinformatics & Optimisation Training
- BioScope-IT - Bioinformatics Service project
- CELSA - Active Learning - Active learning and interpretation of computational model on tissue specific permeability for stock and virtual drug discovery library
- CHeartED - Gene- Environment Interactions in Heart Development
- ChemBioBridge - Bridging chemical and biological experimental design for pharma industry through data fusion.
- contractile cardiac tissue - High content drug screening with contractile cardiac tissue
- Cosmopolitan chicken - Studieproject genetische diversiteit Cosmopolitan chicken
- ELIXIR - Flanders Bioinformatics Infrastructure for Sustainable Agriculture and better Health for Society
- ELIXIR-infrastructure - ELIXIR Infrastructure for Data and Services to strengthen Life-Sciences Research in Flanders
- Exaptation - Scalable solutions for image-based and across-partner compound activity prediction and application to compound selection
- ExaScience Life Pharma - ExaScience Life Pharma
- Exome sequencing - Exome sequencing of colorectal cancer tumor and mismatch repair-deficient tumors.
- FAIR - AI Research Program
- FWO project - Iterative and multi-level methods for Bayesian multirelational factorization with features
- GAP - Genomic Analytics Platform
- GENAGRID - Bioinformatic services for genetic association studies using high-performance grid computation
- GenProm - Advanced Pattern Recognition Methods for the Prediction of GenPromotors
- Hercules III - PacBio RS - Sequencing with the PacBio RS system based on our single molecule, real-time (SMRT) technology
- iMinds SBO dotatie - iMinds Medical Information Technologies- SBO (dotatie)
- MaNet - Mathematical engineering tools for Networks: Data driven mining, identification, control and optimization
- Melloddy - MachinE Learning Ledger Orchestration for Drug DiscoverY
- Microfluidics for single cell omics - The C1 single-cell auto prep system, BioMark HD System and IFC controllers (Fluidigm) for single-cell analyses.
- MoKa - Molecular Karyotyping
- Monsanto - Softwarelicentie INCLUSive Software
- NEUROCLINOMICS - NEUROCLINOMICS - Understanding NEUROdegenerative diseases throught CLINical and OMICS data integration
- New Immunosuppressives - Identification and development of new classes of immunosuppressive compounds and discovery of new key proteins involved in the T and B-cell activation
- STROKEMAP - Multipotent Adult Progenitor Cells to treat Stroke
- SymBioSys I - K.U.Leuven Center for Computational Systems Biology
- Symbiosys II - From variome to phenome
Awards
Publications
301 Moved Permanently
Contact information
- Office: B00.18
- Address:
ESAT
Kasteelpark Arenberg 10, bus 2446, B-3001 Leuven, Belgium - Tel: +32 16 32 86 45
- Fax: 2 19 70
- Email: Yves.Moreau@esat.kuleuven.be