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@2017 Corran Roberts. Proudly created with

YSM 2018 Organisers

Clara Grazian

Nuffield Department of Medicine (NDM), University of Oxford

Clara is a Postdoctoral Scientist who joined the Modernising Medical Microbiology group of the Nuffield Department of Medicine in January 2017. Her research is focused on genome-wide association studies for tuberculosis, in order to identify unknown mutations which confer drug-resistance to the strains, for the most used fourteen drugs. Her work is part of the CRyPTIC consortium. 

She has also ongoing collaborations on more methodological problems, mostly from a Bayesian point of view. 

Before joining the NDM, she completed a Phd on Methodological Statistics at the Department of Mathematics of Université Paris-Dauphine, working on mixture models and dependence models. 

Corran Roberts

Centre for Statistics in Medicine (CSM), University of Oxford

Corran is a medical statistician, responsible for providing statistical input into the design, conduct and analysis of clinical trials, predominately in the oncology and haematology fields. She has a keen interest in improving the appropriate use of statistics in trials, and the appropriate reporting of clinical research by the use of guidelines such as CONSORT.

Corran is passionate about engaging younger students with mathematics and statistics, and promoting the field of medical statistics as a career choice to undergraduates.

Before joining the CSM in October 2013, she completed a BSc in Mathematics at the University of Birmingham, followed by an MSc in Biometry at the University of Reading.

Francesca Romana Crucinio

OxWaSP Programme, University of Oxford & University of Warwick.

Francesca is a first year CDT student on the OxWaSP programme, based at the University of Warwick.
Her research interests are mainly in computational intensive methodologies and Monte Carlo simulation, specifically algebraic-based procedures for efficient computation.
Recently, she also worked on network analysis algorithms.
Prior to joining the OxWaSP programme in October 2017, she completed a MSc in mathematical engineering at Politecnico di Torino.

Jack Euesden

GlaxoSmithKline Pharmaceuticals

Jack is a consulting statistician at GlaxoSmithKline Pharmaceuticals working in a variety of preclinical areas including Target Identification, Safety and Toxicology. In 2016 he completed his PhD with the Statistical Genetics Unit at King’s College London, developing new methods and software for calculating risk of disease in humans using genetic data.

Mei Sum Chan

Nuffield Department of Population Health, University of Oxford

Mei is a DPhil student investigating biological ageing scores as means of expressing the effects of modifiable biomarkers for chronic diseases in the UK Biobank, and is based in the Big Data Institute. Within this project, she intends to apply statistical,  epidemiological and demographic methods.

Mei is a Fellow of the Institute and Faculty of Actuaries and the Royal Statistical Society, and holds a Masters in Mathematics, Operations Research, Statistics and Economics (MORSE) from the University of Warwick. She has worked as a Medical Statistician in a leading international insurer, within an industry-academia collaboration based in University College London, investigating socioeconomic inequalities in health expectation and survival with multiple morbidities.

Jacqueline Murphy

Nuffield Department of Population Health, University of Oxford

Jacqueline has been a Researcher at the Nuffield Department of Population Health since 2012. She is currently studying for an MSc in Medical Statistics at the London School of Hygiene and Tropical Medicine and previously obtained an MMath in Mathematics from Durham University. Jacqueline has interests in cancer epidemiology, survival, and risk prediction, which she is currently pursuing through her postgraduate studies.

Usama Ali

Centre for Statistics in Medicine (CSM), University of Oxford

Usama is a medical statistician who contributes to the design, conduct, analysis and presentation of results of collaborative clinical research projects. He has a methodological interest in the analysis of large routine healthcare datasets, survival analysis and prediction modelling. Usama is passionate about innovative translational research that can improve patient outcomes by positively changing the way patients are treated and managed.


Usama obtained a BSc in Mathematics followed by an MSc in Medical Statistics from the University of Leicester, and subsequently joined the CSM in October 2016. 

Scientific Committee:

Fatima Batool

Christiana Kartsonaki

William Larsen

Hira Naveed

Alecia Nickless