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After a career in Biophysics, Dr. Alfredo Iacoangeli accepted his PhD "cum laude" in Life Sciences in January 2016 from "Sapienza" University of Rome where he worked on structural bioinformatics with a particular focus on protein structure prediction and protein-peptide interaction. He joined King’s College London in March 2016 and he is now the Bioinformatics lead of a joint project between the Department of Basic and Clinical Neuroscience and the Health Informatics Unit at the Institute of Psychiatry, Psychology & Neuroscience at King’s College London. The aim of this project is twofold: 1) the development of a high throughput gene, environment and epigenetics database and analysis system for international MND/ALS research; 2) the use of large multi-omics datasets to identify subgroups MND/ALS patients with homogeneous disease causes and clinical phenotype, and to gain new insights into the disease pathogenesis. Dr. Iacoangeli is first author of several scientific articles in the field of Structural and Genomic Bioinformatics and MND/ALS genetics. 


Research Interests: 

  • Bioinformatics (both genomics and structural biology) 
  • Genetics of complex diseases  
  • Big Biodata 
  • Precision medicine 
  • Machine learning 


  • Bioinformatics, interpretation and data quality assurance in genome analysis  
  • Advanced Bioinformatics 

Expertise and Public Engagement:

Invited speaker, British Neuroscience Academy Debate “DIY home genetic testing will never be ethical”, London, May 2018.  

Key Publications:

C9orf72 intermediate expansions of 24–30 repeats are associated with ALS 17 July 2019

DNAscan: personal computer compatible NGS analysis, annotation and visualisation 27 April 2019

PepComposer: computational design of peptides binding to a given protein surface 8 July 2016