Dr. Marie Claude Asselin

Assistant Professor

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Biography

Marie-Claude Asselin is a Senior Lecturer in Quantitative Imaging at the University of Manchester. With a rich academic background, she earned her PhD in Medical Physics from McMaster University in Hamilton, Canada, where her thesis focused on the application of Positron Emission Tomography (PET) in brain studies. Her research interests include the development and evaluation of novel quantitative methods for PET data analysis, particularly in the fields of oncology and neuroscience. She is adept at fostering collaborations and attracting funding for methodological and clinical imaging projects. Her teaching responsibilities include directing the MSc in Medical Imaging Science and delivering courses on advanced PET imaging and pharmacological imaging. Additionally, she has held positions such as Senior PET Methodologist and Mathematical Modeller, contributing to significant projects in medical imaging, including dynamic PET studies and pharmacokinetic modeling. Engaging actively in professional societies such as the International Society for Cerebral Blood Flow and Metabolism and the European Society for Molecular Imaging, she remains committed to advancing the field of medical imaging science.

Research Interests

Experience

Senior Lecturer

2008-01-01 — Present

University of Manchester • Manchester, UK

Teaching and researching in the field of Quantitative Imaging.

Senior PET Methodologist

2006-01-01 — 2008-01-01

University of Manchester • Manchester, UK

Focus on enhancing PET methodologies and applications.

Mathematical Modeller

2001-01-01 — 2006-01-01

Hammersmith Imanet Ltd. • London, UK

Applied mathematical modeling techniques in the imaging field.

Awards

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EMIM 2019 Poster Prize

2019-03-22
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ESTRO-Accuray Award 2018

2018-04-24

Requirements for University of Manchester

Master Program
Requirements
GPA Requirement
Required:3.3
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:7
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:100
Prerequisites
Bachelor's degree in a relevant engineering or science subject Strong background in mathematics and physics
Application Checklist
  • Academic transcripts
  • Two academic references
  • Personal statement
  • CV/Resume
  • English language proficiency certificate
Specialization Notes

Includes MSc in Advanced Electrical Power Systems and MSc in Communications and Signal Processing.