Edinburgh Research Explorer

Louie Van De Lagemaat

(Former employee or visitor)

Profile photo

Education/Academic qualification

Doctor of Philosophy (PhD), University of British Columbia
Computational approaches to the study of genomic roles of repeated DNA sequences
Bachelor of Applied Science, University of British Columbia

Professional Qualifications

Lloyd Skarsgard Research Excellence Prize
Sanger Research Fellowship, Wellcome Trust Sanger Institute, 2007-2010


Dr van de Lagemaat comes from an applied science (engineering) background, training in Engineering Physics, with electives in physics and electrical and mechanical engineering. After working several years in industry, he became interested in genetics and applied his mathematical and programming skills to the study of repetitive DNA, taking a position with Dr Dixie Mager at the Terry Fox Laboratory at the British Columbia Cancer Research Centre.  He received his PhD, addressing the role of repeated DNA sequences in mammalian genomes, in 2006.  In 2007, he moved to the UK to take up a position with the Genes to Cognition programme under Dr Seth Grant, then at the Wellcome Trust Sanger Institute in Hinxton, Cambridge.  There he was involved in a number of collaborative projects.  Since coming to the University of Edinburgh, he has focussed on analysis of a large dataset describing the impacts of post-synaptic mutations on mouse behaviour using 60 lines of mutant mice.  He still takes time for collaborative work with colleagues when possible.

Research Interests

Dr van de Lagemaat's current research focuses on how protein assemblies in neuronal synapses throughout the brain support behaviour in the mouse.  Understanding these roles promises to shed light on human disorders, particularly intellectual disability.  He is also interested in how these same protein assemblies give rise to electrophysiological phenomena in the hippocampus, again in the mouse model system.  Uniquely, rather than focusing on one gene at a time, he uses large datasets to gain a broader and more robust understanding of behaviour and electrophysiology.

ID: 17216585