Dr. Sean Froudist Walsh

Instructor

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Biography

Sean Froudist-Walsh is a Lecturer in Computational Neuroscience at the University of Bristol, where he leads the Cognition, Anatomy and Neural Networks (CANN) Research Group. His research focuses on understanding how different brain areas work together to produce cognition and how changes in brain anatomy can lead to new functions or dysfunctions. He develops brain-inspired neural network models to link the interactions between neural circuits to the dynamical patterns of activity observed in the cortex and behaviour. Sean has published extensive first-author work in behavioral neuroimaging, neuroanatomy, and machine learning, contributing significantly to the fields of computational neuroscience and computational psychiatry. He aims to connect the fields of neuroimaging and cognitive neuroscience through his research and outreach initiatives.

Research Interests

Experience

Lecturer in Computational Neuroscience

2022-08-01 — Present

University of Bristol • Bristol, United Kingdom

Leading the Cognition, Anatomy Neural Networks (CANN) Group and teaching courses on brain computation and information processing.

Postdoctoral Fellow

2017-09-01 — 2022-06-30

New York University • New York, United States

Created large-scale models of primate cortex and led collaborative efforts with top experimentalists.

Research Worker

2011-09-01 — 2015-07-31

King's College London • London, United Kingdom

Led neuroimaging analysis for a longitudinal study and contributed to various publications.

Requirements for University of Bristol

Doctorate Program
Requirements
GPA Requirement
Required:3.3
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:6.5
TOEFL
Listening
Required:19
Reading
Required:20
Writing
Required:22
Speaking
Required:22
Total
Required:88
Prerequisites
Upper second-class MSci honours degree in physics or related discipline Or a relevant postgraduate MSc
Application Checklist
  • Online application form
  • Academic transcripts
  • Two academic references
  • Personal statement
  • Curriculum Vitae (CV)
  • Research statement/proposal
Specialization Notes

Department of Physics research themes include Astrophysics, Materials and Devices, Particle Physics, and Quantum and Soft Matter.