After a career in Biophysics, Professor Alfredo Iacoangeli accepted his PhD "cum laude" in Life Sciences in 2016 from Sapienza University of Rome where he worked in the field of structural bioinformatics with a particular focus on protein structure prediction and protein-peptide interaction.

Alfredo joined King’s College London in March 2016, and is now the lead of a joint programme between the Department of Basic & Clinical Neuroscience and the Department of Biostatistics & Health Informatics at the Institute of Psychiatry, Psychology & Neuroscience at King’s College London.

The aim of this programme is two-fold:

1) The development of computational approaches based on statistical, machine learning and bioinformatics methods, to study the biological basis of neurodegenerative diseases;

2) Exploiting large multi-omics and clinical datasets using AI and statistical methods to identify develop personalised medicine solutions for neurodegenerative diseases.

Research interests

• Bioinformatics
• Machine learning
• Genomics
• Personalised medicine
• Motor Neurone Disease
• Neurodegeneration

Teaching

MSc modules:

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

Centres for Doctoral Training courses:

• Next-Generation Sequencing Data: DNA Sequencing
• Next-Generation Sequencing Data: RNA Sequencing

Expertise and public engagement

• Winner of the “ENCALS 2021 award”
• Winner of the “Genes 2022 Young Investigator Award in Human Genomics and Genetic Diseases”
• Winner of the Paulo Gontijo Award 2024
• NIHR Maudsley BRC MND Theme Deputy Lead
• Former Project MinE Data Infrastructure working group Chair
• NIHR BioResource Centre Maudsley Rare Diseases lead
• Darby-Rimmer MND Foundation scientific advisory panel
• 2023 ALS Canada-Brain Canada Trainee Award review panel member