Tim CD Lucas

I am a lecturer in the Dept. of Health Sciences at the University of Leicester. Please feel free to email me to discuss stats, modelling, R, job opportunities or anything else. My address is tim.lucas — at — le.ac.uk.

My interests encompass statistical methods and mathematical models for studying disease. In particular I’m interested in studying methods that account for multiple temporal or spatial scales. For example, disease progression or diagnosis is typically quite a slow process, but we are exposed to environmental factors such as air pollution every second. Depending on our movement patterns, we can have very different exposures from one minute to the next.

I have a continuing interest in infectious disease models and statistical methods for ecology. Recently this has involved developing models of contact tracing to help guide COVID-19 policy. Previously, I worked as a Research Fellow at Imperial College. Before that I worked with Deirdre Hollingsworth and the Malaria Atlas Project at the Big Data Institute, University of Oxford on neglected tropical diseases and malaria.

If you are a student looking for opportunities such as masters or PhD projects please email to say hello. Or you can say hello on twitter @timcdlucas or @StatsForBios. There are studentships or pre-doctoral fellowships we could develop a project for. I don’t currently have funding for any PhD students. I will always announce them on twitter and I will try to add them here. I haven’t yet supervised a student through an entire PhD. However, my belief is that the primary aim in a PhD is simply to be happy and healthy, now and in the future. The secondary aim is to graduate. Gaining skills, doing exciting science and publishing papers are subsidiary to the above. I want to be a thoroughly supportive supervisor no matter your strengths, weaknesses and background.

Lab Group

I currently supervise these people in some capacity.

PhD students

Hayley Smith. @96HayleySmith. Combining neural networks and survival models and working out how to fairly compare machine learning and statistical models.

Enzo Cerullo. @enzo_cerullo. Methods for assessing test accuracy in the absence of a gold standard pdf. Meta-analyses. Scholar

Post Docs

Hannah Worboys. @HannahWorboys41. 0.5fte post doc planning evaluation studies for the P-STEP app. 0.5fte PhD student but not supervised by me. How are transplants and mortality used when evaluating quality of life.