Biology connected – the genome and beyond

The Multi-Omics Stage explores methods to integrate genomics, proteomics, transcriptomics and other omics technologies to understand biology at a deeper level. It discusses how to leverage a multi-omic approach to identify new drug targets, analyse data with AI, and make sense of increasingly large, complex omic data sets. 

We also have a range of activities for people interested in Multi-Omics, please see here for more information.

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11:30
  1. Proteomics to Identify Disease-Associated Variants in Patients with Rare Disease Undiagnosed After Genome Sequencing
    Multi-Omics Stage
    30 mins
    Speaker(s)
    Speaker image for Claudia Langenberg
    Claudia Langenberg, Director, PHURI, Queen Mary University of London
    Speaker image for Julia Carrasco-Zanini Sanchez
    Julia Carrasco-Zanini Sanchez, Lecturer in Multiomic Science, Queen Mary University of London
12:00
  1. Causal by Design: Genetics-First Discovery Combined with Agentic AI as the Engine of Next-Generation Therapeutics
    Multi-Omics Stage
    30 mins
    Speaker(s)
    Speaker image for Dr Maria C Suciu
    Dr Maria C Suciu, Head of Discovery, Genomics Ltd
12:30
  1. Quantitative Proteomics to Unravel Signaling in Rare Cells
    Multi-Omics Stage
    30 mins
    Speaker(s)
    Speaker image for Silvia Surinova
    Silvia Surinova, Team Lead in Proteomics, University College London
13:00
  1. Networking Lunch Break
    Multi-Omics Stage
    90 mins
14:30
  1. Making Biobank Data Useful for Drug Discovery
    Multi-Omics Stage
    30 mins
    Speaker(s)
    Speaker image for Daniel Seaton
    Daniel Seaton, Senior Director, Head of Statistical Genetics, GSK
15:00
  1. Sponsored slot available
    Multi-Omics Stage
    30 mins
15:30
  1. Population Proteomics at Scale: How UK Biobank Is Transforming Drug Discovery and Precision Medicine
    Multi-Omics Stage
    30 mins
    Speaker(s)
    Speaker image for Martin Rutter
    Martin Rutter, Deputy Chief Scientist, UK Biobank
16:00
  1. Networking break
    Multi-Omics Stage
    30 mins
16:30
  1. Data Science Opportunities in Oncology Discovery & Translation
    Multi-Omics Stage
    30 mins
    Speaker(s)
    Speaker image for Martin Miller
    Martin Miller, Executive Director, Data Science, GSK
17:00
  1. Sponsored slot available
    Multi-Omics Stage
    30 mins
17:30
  1. Panel Discussion: Using High Dimensional Multi-Omic Data in Drug Discovery & Translational Research
    Multi-Omics Stage
    30 mins
    Speaker(s)
    Speaker image for Paul Matthews
    Paul Matthews, Director, Imperial College London
    Speaker image for Sumeet Pandey
    Sumeet Pandey, Associate Director, Translational Unit, GSK
    Speaker image for Christoph Ogris
    Christoph Ogris, Head of Computational Biology, DISCO Pharmaceuticals
    Speaker image for Tamas Korcsmaros
    Tamas Korcsmaros, Associate Professor, Imperial College London
11:30
  1. Extracting Disease Mechanisms From Multi-Omics Data in The Age of AI
    Multi-Omics Stage
    30 mins
    Speaker(s)
    Speaker image for Julio Saez-Rodriguez
    Julio Saez-Rodriguez, Head of Research, EMBL-EBI
12:00
  1. Sponsored slot available
    Multi-Omics Stage
    30 mins
12:30
  1. Drug Target Discovery through Somatic Genomics
    Multi-Omics Stage
    30 mins
    Speaker(s)
    Speaker image for Tim Butler
    Tim Butler, Principal Scientist, Quotient Therapeutics
13:00
  1. Networking Lunch Break
    Multi-Omics Stage
    70 mins
14:10
  1. Multi-Omics Integration Using Deep Learning & AI-Agents for Disease Insights
    Multi-Omics Stage
    30 mins
    Speaker(s)
    Speaker image for Altuna Akalin
    Altuna Akalin, Head of Bioinformatic and Omics Data Science Platform, Max Delbrück Center for Molecular Medicine
14:40
  1. Multimodal Profiling & Machine Learning Links Genetic Risk for Immune Disease to Accelerate Target Discovery
    Multi-Omics Stage
    30 mins
    Speaker(s)
    Speaker image for Gosia Trynka
    Gosia Trynka, Science Director, OpenTargets
  2. Sponsored slot available
    Multi-Omics Stage
    30 mins
15:10
  1. Utilising Multi-omic Integration & Machine Learning for the Better Understanding of Disease: Painful and Painless Peripheral Neuropathy Example
    Multi-Omics Stage
    30 mins
    Speaker(s)
    Speaker image for Georgios Baskozos
    Georgios Baskozos, Associate Professor, University of Oxford
16:10
  1. Decoding Rare Cancer Cells through Single-cell Multi-Omics: Biological Insights and Clinical Implications
    Multi-Omics Stage
    30 mins
    Speaker(s)
    Speaker image for Mark Hartmann
    Mark Hartmann, Postdoctoral Researcher & Team Leader, German Cancer Research Center (DKFZ)
16:40
  1. From Multi-Omics Data to Mechanistic Understanding: Building Interpretable Models of Cancer Systems
    Multi-Omics Stage
    30 mins
    Speaker(s)
    Speaker image for Federica Eduati
    Federica Eduati, Associate Professor, Technische Universiteit Eindhoven