Summary
Maggie Lieu is a Senior Research Fellow in Machine Learning & Cosmology with nine years of experience extracting science from noisy, low-statistics astrophysical data. She applies advanced statistical methods and machine learning to weak gravitational lensing and X-ray observations of galaxy groups and clusters, driving insights into dark matter and dark energy. At the University of Nottingham she develops and teaches a Machine Learning in Science MSc module while supervising Masters projects, and she has held research roles at ESA supporting the Euclid mission and ExoMars operations. Maggie advises national strategy on the STFC Astronomy Advisory Panel and shapes the field as an editor for Astronomy and Computing, reflecting both technical depth and community leadership. She also translates research for broad audiences through media appearances and a content company, demonstrating an unusual blend of technical research, public engagement, and mission-level engineering experience.
9 years of coding experience
4 years of employment as a software developer
Master's degree, Postgraduate Certificate in Higher Education (PGCHE), Master's degree, Postgraduate Certificate in Higher Education (PGCHE) at University of Nottingham
Doctor of Philosophy (Ph.D.), Astronomy and Astrophysics, Doctor of Philosophy (Ph.D.), Astronomy and Astrophysics at University of Birmingham
University of California, Los Angeles
Master’s Degree, MPhys(HONS) Astronomy, Space Science & Astrophysics, Master’s Degree, MPhys(HONS) Astronomy, Space Science & Astrophysics at University of Kent
English, Chinese, French, Spanish