DrAlessia David

Associate Professor in Bioinformatics and Data Intensive Bio

Department of Life Sciences - Faculty of Natural Sciences

BIO

Dr Alessia David is an Associate Professor in Bioinformatics and Data Intensive Biology in the Centre for Integrative System Biology and Bioinformatics at Imperial College London and a Honorary Consultant Physician at Imperial College NHS Trust.

She graduated with honours in Medicine from the University of Rome La Sapienza and completed her specialist training in Endocrinology and Metabolic Diseases. She holds a PhD in Molecular Endocrinology from the William Harvey Research Institute, Queen Mary University London and an MSc in Bioinformatics and System Biology from Imperial College London. In 2013, she was awarded an MRC fellowship in Biomedical Informatics. After completing her fellowship, she continued her research work as a Clinical Research Fellow at Imperial College London. Over the last 10 years, she has been engaged in identifying the genetic and molecular mechanisms contributing to human diseases by using a range of mathematical and bioinformatics approaches and has published extensively on a wide range of genetic conditions.

She has received funding from the MRC, Wellcome Trust and Imperial Health Charity.

Dr Alessia David and Prof Michael Sternberg co-developed the following resources for variant prediction:

Missense3D - an algorithm to predict the structural changes introduced by an amino acid substitution. It is applicable for the analysis of both experimental and predicted 3D protein structures.

Missense3D-DB - a database of precomputed structural predictions for 4 million human missense variants

PhyreRisk - a dynamic web application developed to enable the exploration and mapping of genetic variants onto experimental and predicted structures of proteins and protein complexes

DEGREES

  • PhD in Molecular Biology
    Queen Mary University of London, London, United Kingdom
  • MSc in Bioinformatics & System Biology
    Imperial College London, London, United Kingdom

FACULTY

  • Faculty of Natural Sciences

POSITION NAME

  • Associate Professor in Bioinformatics and Data Int

FIELDS OF RESEARCH