There is increasing interest in leveraging large scale data to answer biological and medical questions. To this end, we aim to bring together a network of early-career researchers interested in computational biology and health informatics in the wider London area. The first event in the series will take place at The Francis Crick Institute on 20th September 2017. Join us for a full day of talks, networking and exciting science! Each participant will be asked to introduce themselves and their research interests with one slide. This is an excellent opportunity to meet with like-minded scientists and build strong connections for future research.

Preliminary Agenda:

09:15 – 09:45: Arrival and coffee

09:45 – 10:00: Welcome address

10:00 – 10:45: Keynote talk: Prof. Gil McVean (Director of Oxford Big Data Institute, University of Oxford)

10:45 – 12:05: Session I: Invited short talks

Phenotype-aware approaches to disease gene and model discovery
Dr. Damien Smedley, Queen Mary University of London

Understanding heterogeneity through Bayesian hierarchical modelling: biomedical applications
Dr. Catalina Vallejos, The Alan Turing Institute, London

Electronic health records for research and fun
Dr. Spiros Denaxas, The Farr Institute, London

Title: TBC
Dr. Alessandra Vigilante, King’s College London

12:05 – 12:30: Flash introductions by participants, round I

12:30 – 14:00: Lunch / Coffee

14:00 – 15:20: Session II: Invited short talks

Bambi vs Rudolph: a bloody tale of deer and men
Dr. Tobias Warnecke, Imperial College London

Towards `universal' deep learning for computer vision: from UberNet to DenseReg
Dr. Iasonas Kokkinos, University College London

Deciphering the tumour ecosystem with histology machine learning
Dr. Yinyin Yuan, The Institute of Cancer Research, London

Title: Non-invasive tumour microstructure characterisation with VERDICT MRI
Dr. Laura Panagiotaki, University College London

15:20 – 15:45: Flash introductions by participants, round II

16:00 – 18:00: Drinks Reception and Networking

Organisers: Helena Kilpinen (UCL/WTSI), Bori Mifsud (QMUL), Alan Hodgkinson (KCL) and Andre Altmann (UCL) are eMedLab career development fellows funded by the Medical Research Council. We share a common theme of using computational and integrated approaches to study human health.