Lauren Ansell

Academic profile

Dr Lauren Ansell

Lecturer in Data Science
School of Engineering, Computing and Mathematics (Faculty of Science and Engineering)

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The Global Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. Lauren's work contributes towards the following SDG(s):

Goal 03: SDG 3 - Good Health and Well-beingGoal 07: SDG 7 - Affordable and Clean EnergyGoal 08: SDG 8 - Decent Work and Economic GrowthGoal 09: SDG 9 - Industry, Innovation, and InfrastructureGoal 11: SDG 11 - Sustainable Cities and CommunitiesGoal 14: SDG 14 - Life Below Water

About Lauren

Lecturer in Mathematical Sciences


Highlights

Shortlisted in the "Mathematical Sciences" category of the STEM for Britain Award 2022

The poster showcased research into modelling the demand for energy resulting from the charging of battery-power vessels in the port of Plymouth.

This research was part of the Marine E-charging Living Lab (MeLL) project funded by the Department for Transport through Innovate UK.

Shortlisted in the Fleet Innovation category for the 2022 CiTTi awards

Using data gathered from sensors of electric bike, this work explored the patterns of behavior of e-bike users. 

This project was supported by the ERDF funded Environmental Futures and Big Data Impact Lab and was done in collaboration with Co- bikes and see.sense who submitted the work.

An R script written by Dr Lauren Ansell has been shortlisted in the “Best Application of Innovative Digital Tools or Emerging Technology on a Brownfield Project” category of the Brownfield Awards 2022, with entries coming from industry professionals nationwide.

The R function, entitled “SiteSamplingGrid”, automatically generates grids of the size defined by the user and selects sample points within the grid for the measuring of pollutants in soils to assess spatially distributed contamination. The automation of selecting sample points benefits the process of measuring pollutants by the removal of bias that is introduced by manual placement of the grid and selection of sample locations.

This project was supported by the ERDF funded Environmental Futures and Big Data Impact Lab and was created for the South West engineering consultancy John Grimes Partnership Ltd who submitted the script for the award.


Supervised Research Degrees

Current research Students:

  • K Jagoda: Methodological challenges in dealing with missing data when carrying out research using electronic health (co-supervisor)
  • M Bibani: Multivariate Survival Modelling using Copulas (co-supervisor)

Teaching

I currently teach on both the first and second year of the undergraduate Mathematics courses and on the MSc in Data Science and Business Analytics. I am also the module lead for the module "Engineering Mathematics and Statistics" ran on the second year as core for the Electronic and Robotics Engineering students. 

Contact Lauren

Room 111, 2-5 Kirkby Place, Drake Circus, Plymouth, PL4 8AA
+44 1752 586337