Skip to main content

Trinity College Dublin, The University of Dublin

Trinity Menu Trinity Search

You are here Research > Neural Engineering > Research Laboratories in Neural Engineering

Edmund Lalor

Assistant Professor, Trinity Centre for Bioengineering
Associate Professor, Department of Biomedical Engineering and Department of Neuroscience, University of Rochester,

Twitter: @edmundlalor


Ed Lalor received the B.E. degree in electronic engineering from University College Dublin, Ireland in 1998 and the M.Sc. degree in electrical engineering from the University of Southern California in 1999.
After periods working as a silicon design engineer for a Dublin-based company and a primary school teacher for children with learning difficulties, Ed joined MIT's Media Lab Europe, where he worked from 2002-2005 as a research scientist investigating brain-computer interfacing and attentional mechanisms in the brain. This research led to a PhD in biomedical engineering which was completed through UCD in 2006. Subsequently, he spent 2 years in New York working as a postdoctoral research fellow in the Cognitive Neurophysiology Laboratory at the Nathan Kline Institute for Psychiatric Research and as an adjunct assistant professor in the City College of New York. He returned to a position as an IRCSET Government of Ireland Postdoctoral Research Fellow based at the Institute of Neuroscience and the Centre for Bioengineering in Trinity College Dublin in 2008. Following a brief stint at University College London's Institute of Ophthalmology, he returned to Trinity College Dublin as an Ussher Lecturer in 2011. In 2016, he joined the University of Rochester as an Associate Professor of Biomedical Engineering and of Neuroscience

Research Interests

  • Processing of electrophysiological signals reflecting activity of human sensory systems.
  • Multisensory integration.
  • Effects of selective attention on sensory and perceptual processing.
  • Computational modelling of the visual system at various hierarchical levels.
  • The encoding and decoding of sensory information in populations of neurons.
  • Sensory deficits in schizophrenia and autism.
  • Brain-computer interfacing.