Lisa Mott

Contact

• workRoom B50a School of Mathematical Sciences
  University Park
  Nottingham
  NG7 2RD
  UK
• work0115 9514911
• Lisa.Mott@nottingham.ac.uk

Biography

Lisa studied BSc Mathematics (2008-2011) and then completed her PhD thesis "Efficient Statistical methods for inference and model selection in diffusion-weighted MRI models" at University of Nottingham (2011-2015). She then completed a PGCE in Secondary Mathematics at the University of Nottingham (2015-2016). Lisa then taught mathematics at a Further Education college (2016-2020). Lisa then started her role as a Teaching Associate at the University of Nottingham in February 2020 and was promoted to Assistant Professor in January 2022.

Expertise Summary

Lisa has a teaching-focussed role in the school. She develops innovative resources for the Degree Apprenticeship in Data Science.

Lisa has been the Digital Learning Lead for the School of Mathematical Sciences since 2020

Teaching Summary

Lisa currently teaches on three modules on the Data Science Degree Apprenticeship.

DATA3001 Becoming a Professional Data Scientist

DATA2001 Statistical Models and Methods

DATA1004 Introduction to Probability and Statistics

Previously she was the module convenor of MATH1055 Probability [Apprenticeship], MATH1054 Statistics [Apprenticeship] and MTHS2001 Applied Statistics and Probability and the second lecturer of MATH4019 Fundamentals of Statistics.

Selected Publications

• CHRIS BRIGNELL, CHRISTINA BRADY, LISA MOTT and TOM WICKS, 2022. Fostering purposeful engagement by building staff-student communities Student Engagement in Higher Education. 4(2),

• View all publications

• CHRIS BRIGNELL, CHRISTINA BRADY, LISA MOTT and TOM WICKS, 2022. Fostering purposeful engagement by building staff-student communities Student Engagement in Higher Education. 4(2),