Cogs in head

Bioinformatics analysis enables fundamental understanding of biological mechanisms and may suggest pathways to improved treatment of disease."

Dr Timothy Ebbels

Head of Section

Bioinformatics is an interdisciplinary field that combines computational and visualisation methods to model and extract knowledge from complex biological, biochemical and clinical data. Modern data science methods such as (multivariate) statistics, machine learning and artificial intelligence allow modelling, analysis, prediction and visualization of ‘Big Data’ derived from a plethora of experimental approaches.

Our data comes from a variety of techniques from genomics to metabolomics through to imaging and clinical diagnostics. A key activity is developing and adapting novel mathematical and statistical algorithms and software to analyse and integrate these diverse data sets to develop software platforms for use in clinical settings, derive new biological and medical insights and to improve our understanding of the factors underlying health and disease.

Nutrition

Section leadership

Head of  Bioinformatics - Dr Timothy Ebbels

Dr Ebbels is a Reader in Computational Bioinformatics and his research interests lie at the interface between two broad areas:

  • multivariate data analysis
  • post-genomic technologies

More specifically, on the computational side these include, machine learning, bioinformatics, chemometrics, and multivariate statistics, and on the experimental side, the fields of genomics, transcriptomics and metabolomics

Find out more about Dr Timothy Ebbels

Activities and Events

Upcoming meetings

Topic: MRes Data Science Journal Club (“International evaluation of an AI system for breast cancer screening” and “GRAM-CNN: a deep learning approach with local context for named entity recognition in biomedical text”)

Date: 26 Feb 2020

Venue: Room 660B, 6th floor, Sir Alexander Fleming (SAF) building, South Kensington Campus

Chair: Joram Posma

Presenter(s): Luís Rita, Shujian Sun


Topic: Digital pathology / MR fingerprinting (full title TBC)

Date: 25 Mar 2020

Venue: Data Visualization Suite (DVS), 3rd floor, Sir Alexander Fleming (SAF) building, South Kensington Campus

Chair: Joram Posma

Presenter(s): Matthew Grech-Sollars 


Topic: Exposomics (full title TBC)

Date: 06 May 2020

Venue: Data Visualization Suite (DVS), 3rd floor, Sir Alexander Fleming (SAF) building, South Kensington Campus

Chair: Joram Posma

Presenter(s): Marc Chadeau-Hyam

Previous meetings

Topic: “End-to-end lobe/trachea segmentation using U-net” and “Radiomics of Ovarian Cancer”

Date: 12/02/20

Venue: Data Visualization Suite (DVS), 3rd floor, Sir Alexander Fleming (SAF) building, South Kensington Campus

Chair: Joram Posma

Presenter(s): Marc Boubnovski-Martell and Kristofer Linton-Reid


Topic: AI for Drug Discovery: Evolution or Revolution?

Date: 29/01/20

Chair: Elsa Angelini

Presenter(s): Prof Robert Glen


Topic: Graph attentional autoencoder for anticancer hyperfood prediction

Date: 15/01/20

Chair: Elsa Angelini

Presenter(s): Guadalupe Pigorini


Topic: Group Introduction - Part 3

Date: 18/12/19

Chair: Elsa Angelini

Presenter(s): NA


Topic: Group Introduction - Part 2

Date: 04/12/19

Chair: Elsa Angelini

Presenter(s): NA


Topic: Group Introduction - Part 1

Date: 20/11/19

Chair: Elsa Angelini

Presenter(s): NA


Topic: Dirichlet Process Gaussian Mixture Model for Health Record data

Date: 06/11/19

Chair: Elsa Angelini

Presenter(s): Sam Greenbury

Research group leads