There are a number of modules that I teach:
You can also view a list of modules I have previously taught on my teaching page.
- Extreme Value Theory
- Bayesian inference for extremes
- Statistical modelling of road traffic accidents
- Novel approaches to road safety hotspot identification
- Innovative approaches to teaching Statistics
- Md Hossain: Forecasting Crop Production and Environmental Extremes in Bangladesh, 2019-2023.
- Nicola Hewett: Moving Towards Real-Time Prediction of Road Traffic Collisions, 2018-2022.
- Amy Green: Improving radar rainfall estimates for urban flood risk using Monte Carlo ensemble simulation, 2017-2021.
- Joe Matthews: Novel Approaches to Collision Hotspot Identification, 2014-2019.
- Rachael Brown: Predicting Extreme Precipitation in Western Europe, 2021/22.
- Ben Griffiths: Bayesian Inference for Solar Flare Extremes, 2020/21.
- Heather Woodhouse: Bayesian Inference for Serially Dependent Sea-Surge Extremes, 2019/20.
- Tom Owen: Predicting sea-surge extremes in the North Sea, 2017/18.
- Matthew Capewell: Estimating extreme sea-surge events in the Gulf of Mexico, 2017/18.
- Amy Green: Predicting Environmental Extremes for the Nuclear Industry: Facilitating Best Practice, 2016/17.
- Filipa Eastham: Bayesian Inference for Temperature Extremes and Heatwaves, 2015/16.
- Alexandra Lee: Bayesian Inference for Sea-surge Extremes in the Gulf of Mexico, 2014/15.
- Lucy Robinson: An Investigation into the Effect of Regression to the Mean in Road Transport Safety, 2014/15.
- Katie Connor: Bayesian Inference for Environmental Extremes, 2013/14.
- Harry Billen: Temperature Extremes and Heatwaves, 2012/13.
- Fiona Sutherland: Hurricane Katrina: Modelling serially dependent sea-surges, 2012/13.
- Rebecca Nicholson: Modelling Serially Dependent Extremes, 2011/12.
- Rochelle Firth: Modelling Environmental Extremes, 2008/09.
I am currently the Royal Statistical Society William Guy Lecturer (2018/19).
In 2018 I was awarded the C. Oswald George prize for best article in the journal Teaching Statistics.
In 2014 I was awarded a University Strategic Development Grant for Impact Generating Activity, to develop software tools for identifying road traffic accident hotspots. Neil Thorpe, from the Transport Operations Research Group, is co-investigator. In 2015 I was awarded a second University grant for impact-generating activity to continue this work and to support our collaborative efforts with our industrial partners, and in 2017 a third University impact award was granted to facilitate global outreach for this work. In 2017 I was awarded a Newton Fund travel grant to support collaborations with the World Resources Institute in Mexico City. The project is ongoing.
In 2015 I was awarded a University Learning, Teaching and Student Experience innovation fund grant to develop web-based applications to enable research-informed teaching and outreach activities.
In 2013 I was the recipient of a University Learning, Teaching and Student Experience innovation fund grant to investigate the use of "Case-Based Learning and Teaching in Statistics Service Courses".
In 2009 I was a recipient of the Vice-Chancellor's Award for Excellence in Teaching and Learning.
About Lee Fawcett
Welcome to my personal webpage! I am Senior Lecturer in Statistics in the School of Maths, Statistics & Physics. I currently teach stage 2 and 3 students taking courses in Bayesian Statistics and Statistical Computing. I am the School's Director of Recruitment and Admissions and I am also our International Co-ordinator.
My main research area is in the field of environmental extremes. My current work is looking at how spatial models for extremes can be used to estimate heavy rainfall events during storms. I also work with colleagues in the Transport Operations Research Group - current work is focussing on Bayesian methods for assessing the effectiveness of road safety schemes and for identifying road safety hotspots.
- Director of Outreach, Recruitment and Admissions
- International Co-ordinator for the School of Mathematics, Statistics and Physics
- Personal tutor
School of Mathematics & Statistics
NEWCASTLE UPON TYNE
Phone: (0191) 208 7228
Fax: (0191) 208 8020