• About me
  • Experience
  • Selected publications
  • Reviews
  • Talks
  • Teaching
  • Supervision
  • CV
  • Talks
    • Invited speaker at Astrazeneca, Computational Biology Seminar
    • Principles of multi-omics data integration (Cambridge AI Club for Biomedicine)
    • Invited speaker at Harvard Medical School, Centre for Computational Biology Seminar Series
    • Poster presentation at the Single Cell Genomics 2022 conference
    • Invited speaker at the Human Technopole
    • Keynote speaker at the EIPP Bioinformatics Course for EMBL PhD students
    • Data integration techniuqes for the 10x Chromium single-cell Multiome technology (10x Genomics Webinar Series)
    • Invited speaker at the 'ELIXIR Omics Integration and Systems Biology' course
    • Invited speaker at Festival of Genomics
    • Workshop on Methods in Integrative Genomics, organised by the Royal Statistical Society (London, 2020)
    • Invited participant at the Mathematical Frameworks for Integrative Analysis of Emerging Biological Data Types
    • Invited speaker at the PRBB Computational Genomics Seminar
    • Invited speaker at the German Conference in Bioinformatics
    • Poster presentation at the conference 'Biology of Genomes'
    • Selected speaker at the Single Cell Genomics conference
    • Selected speaker at the Mathematical and Statistical Aspects of Molecular Biology conference
    • Poster presentation at the Single Cell Genomics 2017 conference
    • Selected talk at the conference 'From Single- to Multiomics: Applications and Challenges'
    • Selected talk at the 4th Bioinformatics and Genomics Symposium
  • Blog
    • 🎉 Easily create your own simple yet highly customizable blog
    • 🧠 Sharpen your thinking with a second brain
    • 📈 Communicate your results effectively with the best data visualizations
    • 👩🏼‍🏫 Teach academic courses
    • ✅ Manage your projects
  • Projects
    • Pandas
    • PyTorch
    • scikit-learn
  • Experience
  • Reviews
    • Gene regulatory network inference in the era of single-cell multi-omics
    • Computational principles and challenges in single-cell data integration
  • Teaching
    • MOFA workshop (VIB Training, 2018-2022)
    • Demonstrator at the course 'Integrative analysis of multi-omics data' (EMBL, 2022)
    • Instructor at the IARC-SIB course: 'Multivariate analysis for -omics data integration: principles and applications'
    • Adjunct professor, MSc Bioinformatics at Universitat Pompeu Fabra (2020-2022)
    • Adjunct professor, MSc Bioinformatics at Universitat Pompeu Fabra
    • Adjunct Professor, BSc Human Biology at Universitat Pompeu Fabra (2020 and 2021)
    • Demonstrator at the course 'Systems biology: From large datasets to biological insight' (EMBL-EBI)
    • Demonstrator at the course 'Introduction to multiomics data integration' (EMBL-EBI, 2018 and 2019)
    • Supervisor at the BSc course 'Mathematical Biology' at Cambridge University (2017-2020)
    • Teaching assistant, MSc Bioinformatics at Copenhagen University (2015-2016)
  • Publications
    • Decoding gene regulation in the mouse embryo using single-cell multi-omics
    • Identifying temporal and spatial patterns of variation from multimodal data using MEFISTO
    • Inter-gastruloid heterogeneity revealed by single cell transcriptomics time course: implications for organoid based perturbation studies
    • Single-cell multi-omics profiling links dynamic DNA methylation to cell fate decisions during mouse early organogenesis
    • Integrative Transkingdom Analysis of the Gut Microbiome in Antibiotic Perturbation and Critical Illness
    • scMET: Bayesian modeling of DNA methylation heterogeneity at single-cell resolution
    • MOFA+: a statistical framework for comprehensive integration of multi-modal single-cell data
    • Multi-omics profiling of mouse gastrulation at single-cell resolution
    • Multi-Omics Factor Analysis-a framework for unsupervised integration of multi-omics data sets
    • scNMT-seq enables joint profiling of chromatin accessibility DNA methylation and transcription in single cells
  • Supervision
    • Brendan Terry (2021-2022): Multi-modal CRISPR screenings at single-cell resolution
    • Bart Theeuwes (2021 - 2022): Deciphering gene regulatory network control of embryonic haematopoiesis from single-cell multi-modal data
    • Gavin Li (2021 - 2022): modelling gene regulatory networks from single-cell multi-modal data
    • Yonatan Deloro (2018): Factor Analysis Models for Genomics data

Invited speaker at Harvard Medical School, Centre for Computational Biology Seminar Series

Nov 6, 2023 · 0 min read
Slides
Last updated on Nov 6, 2023
Ricard Argelaguet
Authors
Ricard Argelaguet
Senior Research Scientist
← Principles of multi-omics data integration (Cambridge AI Club for Biomedicine) May 1, 2024
Poster presentation at the Single Cell Genomics 2022 conference Oct 16, 2022 →

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