Prof Mark Kelson
Associate Professor of Statistics for Health
Telephone: 01392 722562
Extension: (Streatham) 2562
I am a statistician. A biostatistician as it happens. A medical statistician really. Or should it be data scientist? Am I in data analytics? I’m a biostatdatscientanalyst.
Now that’s cleared up I can tell you what I’m interested in: data. And people*. And science.
Our progression as a species can be primarily attributed to our aptitude for handling information, from the pattern recognition that helped us spot predators in prehistory to our capacity for abstract thought that allowed us to identify solutions to our most difficult problems (someday we may even figure out how Mark Wahlberg is our species highest paid actor). All this requires an ability to process and make sense of data. This is the work of a biostatdatscientanalyst.
I work at the interface between clinical trials, medical statistics, causal inference and data science. My work is primarily focussed on two main application areas: physical activity and mental health.
I currently work on a project exploring drug-vaccine interactions, a project exploring the impact of violence reduction units in the UK and a systematic review exploring differential effectiveness of physical activity apps across the socio economic gradient.
I am interested in bringing the rigour, methodology and philosophy of clinical trials into settings outside of trials, as well as delivering the insights that causal inference brings into the trials setting. If this sounds good to you, do get in touch.
My vision is to bring these ideas to bear on the field of physical activity. Physical activity is fascinating. Everyone knows it’s good for you right? But how good? And for what? And how do you measure it anyway? All of this interests me. I come from a clinical trials background and many of the trials I work(ed) on (have) include(d) elements of physical activity for health, be that functional ability, weight loss or mental health. I am particularly interested in the analysis of accelerometry data.
I am also interested in mental health. Mental health measurement and intervention is another difficult problem and so is grist to the mill of a biostatdatscientanalyst. I have milled the grist out of: common mental disorders, bipolar disorder, suicide and post-traumatic stress disorder.
Methodologically I am interested in multilevel modelling, meta-analysis and R programming.
I contribute to teaching two undergraduate courses: “Probability, Statistics and Data”, and “Statistical modelling and Inference”. I lead an MSc module called “Working with Data”. I am the academic lead for an undergraduate degree apprenticeship in Data Science run in partnership with Exeter College. I also run meta-analysis training with Cardiff University and University of Exeter, contribute to a MOOC called “Making Sense of health Evidence: the informed Consumer” and teach an introduction to R course in the University of Namibia as part of Cardiff University’s Phoenix project.
I am a research Fellow with the Alan Turing Institute.
I am the Research Integrity Officer for the department of mathematics and the university lead for the UK reproducibility network.
I am an Assistant Director for the Institute of Data Science and Artificial Intelligence with the remit of partnerships. I sit on the IDSAI management group.
I am an editor for Statistical Methods in Medical Research http://journals.sagepub.com/home/smm and statistical editor for the International Journal of Behavioral Nutrition and Physical Activity https://ijbnpa.biomedcentral.com/
I am on the middle career researcher section of the Society for Social Medicine.
I am available to supervise undergraduate projects on physical activity or mental health.
I blog infrequently at SignificantlyStatistical
I sit on a number of committees for trials including:
PACE-HD: Physical Activity and Exercise Outcomes in Huntington’s Disease
Society for Social Medicine
European Public Health Association
* In so far as they produce data