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Dr Luigi Palla

PhD

Assistant Professor
Medical Statistics and Epidemiology

Room
G37a

LSHTM
Keppel Street
London
WC1E 7HT
United Kingdom

Tel.
020-79272056

I obtained a degree in Statistical and Economic Sciences (2000) and Ph.D. in Statistical Methodology for Scientific Research from the University of Bologna (2004). After a postdoctoral appointment in statistical/mathematical genetics at Dept Mathematics, Free University Amsterdam, for several years I worked as a statistician for the Medical Research Council at University of Cambridge, in the areas of genetic epidemiology (mainly supporting InterAct- a large European study of the effect of interaction between genes and lifestyle on the incidence of diabetes) and nutrition (dietary surveys, nutritional epidemiology). I joined LSHTM in August 2013 as Research Fellow in Statistical Genetics. Since January 2016 I have been Assistant Professor in Medical Statistics and Epidemiology at the Department of Medical Statistics and member of the Electronic Health Record Research Group at LSHTM. From October 2019 I have also held a part-time Associate Professor role at the University of Nagasaki School of Tropical Medicine and Global Health.

 

Affiliations

Faculty of Epidemiology and Population Health
Department of Medical Statistics
Department of Clinical Research

Centres

Centre for Statistical Methodology

Teaching

I have been Director of the LSHTM DL Postgraduate Professional Development Course in Pharmacoepidemiology and Pharmacovigilance since 2016.

Since October 2019 I have been holding a part-time appointment as Associate Professor at the University of Nagasaki School of Tropical Medicine and Global Health, Japan, where I teach modules in Medical Statistics within several Master Programmes.

I am a member of the Programme Development committee for the new LSHTM Master in Health Data Science which will be launched in 2020.

Between 2016 and 2018 I was co-organiser of a module on Advanced Statistics for Records Research within the Master in Health Data Science at the Institute of Medical Informatics, UCL.  Between 2014 and 2016 I was organiser of the module in Analysis of Hierarchical and Other Dependent Data in the Master in Medical Statistics (LSHTM) and I am still teaching and a tutor in that module/Master. In the School I contributed to teaching the courses in Human Genetic Epidemiology and STEPH for the Master in Epidemiology; Robust Statistical Methods, Statistical Methods in Epidemiology and Survival Analysis for the Master in Medical Statistics.

In the year 2016/2017, I was Visiting Professor in Statistics at the University of Parma where I taught a course on Statistics for Food and Nutrition Sciences.

Research

I am interested in statistical methods in epidemiology and genetics and in statistical applications of multivariate methods in metabolomics, nutrition and electronic health record (Big Data) research.

In nutrition I am particularly interested in the use of national surveys for monitoring and comparing the health status of populations and in the application of advanced statistical methods to facilitate that.

I am also part of the Cure-ME group investigating the aetiological and clinical aspects of ME-CFS( https://cureme.lshtm.ac.uk/ ).

Research Area
Human genetics
Public health
Statistical methods
Methodology
Education
Discipline
Genetic epidemiology
Genomics
Epidemiology
Genetics
Nutrition
Statistics
Disease and Health Conditions
Cardiovascular disease
Diabetes
Non-communicable diseases
Obesity
Region
East Asia & Pacific (all income levels)
European Union

Selected Publications

Trends in sexual activity and demand for and use of modern contraceptive methods in 74 countries: a retrospective analysis of nationally representative surveys.
Slaymaker E; Scott RH; Palmer MJ; Palla L; Marston M; Gonsalves L; Say L; Wellings K
2020
The Lancet Global Health
What is the evidence for interactions between filaggrin null mutations and environmental exposures in the aetiology of atopic dermatitis? A systematic review.
Blakeway H; Van-de-Velde V; Allen VB; Kravvas G; Palla L; Page MJ; Flohr C; Weller RB; Irvine AD; McPherson T
2019
British Journal of Dermatology
Machine Learning Predicts Accurately Mycobacterium tuberculosis Drug Resistance From Whole Genome Sequencing Data.
Deelder W; Christakoudi S; Phelan J; Benavente ED; Campino S; McNerney R; Palla L; Clark TG
2019
Frontiers in Genetics
A logistic regression analysis of risk factors in ME/CFS pathogenesis.
Lacerda EM; Geraghty K; Kingdon CC; Palla L; Nacul L
2019
BMC neurology
The day-time patterns of carbohydrate intake in the UK adults – results from the NDNS RP (2008-16)
Wang C; Almoosawi S; Palla L
2019
Proceedings of the Nutrition Society
See more Publications