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1. Cherie Booth CBE, QC

   The third Chancellor of LJMU, Cherie Booth championed the university locally and further afield, a keen advocate of our ambition to give students real-world experience as a preparation for employment beyond study.

2. Henry Humphreys ‘Humph’ Jones 1878 - 1971

   Principal of our School of Pharmacy in the early 1900s overseeing the school’s greatest period of expansion; LJMU is now one of the oldest providers of pharmacy education in Europe.

3. Shaun Johnson

   Shaun is a dedicated member of the catering team at LJMU and was honoured with the Outstanding Professional Services award at the JMSU Student Experience Awards 2023, alongside the late Colette Dalton, a beloved colleague.

4. Policies and regulation for students

   LJMU students can view all the student regulations and policies including the Student Charter and the Student Handbook.

5. Contact us - History

   Find contact information and get in touch with the LJMU History team.

6. Ricky Wang

   International student Ricky is studying media, culture and communications at LJMU and has embraced the cultural differences of Liverpool compared to his home nation of China.

7. Sarah Maclennan

   Member of the Board of Governors

8. Sacha Ogosi

   From volunteering in Fiji to acting as a student mentor on LJMU’s first Reciprocal Mentoring Scheme, Sacha embraced all of the opportunities available to her during her student years at LJMU and is an inspiring alumna.

9. Equality, Diversity and Inclusion (EDI)

   Find out more information about how the Equality, Diversity and Inclusion Team work proactively to promote inclusivity for all at LJMU.

10. SDG 16 - Peace, justice and strong institutions

    LJMU is committed to creating peaceful and inclusive societies. On campus, we support Armed Forces Day and we’re recognised under the Ministry of Defence’s Employer Recognition Scheme. Locally, we’ve partnered with the Merseyside Police, raising the standard of policing in Merseyside. Nationally, LJMU AI researchers helped to solve murder case using a deep learning method originally developed for eco-conservation.