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Tim Kerr

Tim Kerr

PhD student

Contact details

Biography

PhD in Social, Genetic and Developmental Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London (2022-2026).

MSc in Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King's College London (2019-2021).

BSc in Physiological Sciences, Newcastle University (2012).

MBBS, Newcastle University (2009-2015).

BBSRC London Interdisciplinary Doctoral Training Programme (LIDo) funded iCASE PhD (2022-2026).

Awarded the Henry McIlwain prize for best overall student in MSc Neuroscience (2021).

Associateship of King’s College (2021).

Research interests:

 I am a PhD student in the EDIT lab, supervised by Prof. Thalia Eley, and Prof. Oliver Robinson (Institute of Cognitive Neuroscience, UCL). My project will apply computational modelling to fear conditioning data, collected in Fear Learning and Anxiety Response (FLARe) studies, with the aim of identifying cognitive and genetic mechanisms underlying fear learning.  

Research groups:

  • The Emotional Development, Interventions and Treatment (EDIT) Lab

 

Teaching:

  • Principle’s Global Leadership Award (PGLA) – Graduate Teaching Assistant

Research

EDIT Lab logo 3 v.2
Emotional Development, Interventions and Treatment (EDIT) Lab

The EDIT lab studoes genetic and environmental influences on the development and treatment of anxiety and depression.

HERO scgg 3
Statistical and Computational Genetics and Genomics (SCGG) RIG

The SCGG Group brings together researchers at King’s who are developing and working with innovative quantitative and computational approaches for genomic discovery and its impact on human health.

Research

EDIT Lab logo 3 v.2
Emotional Development, Interventions and Treatment (EDIT) Lab

The EDIT lab studoes genetic and environmental influences on the development and treatment of anxiety and depression.

HERO scgg 3
Statistical and Computational Genetics and Genomics (SCGG) RIG

The SCGG Group brings together researchers at King’s who are developing and working with innovative quantitative and computational approaches for genomic discovery and its impact on human health.