Javier Palarea-Albaladejo

Javier's picture

Senior Statistical Scientist

Biomathematics and Statistics Scotland
JCMB, The King's Buildings,
Peter Guthrie Tait Road,
EDINBURGH, EH9 3FD, Scotland, UK.

Tel: +44 (0)131 651 7288

Javier Palarea-Albaladejo

Area of work

My work comprises high level quantitative inputs in interdisciplinary scientific research for the Scottish Government's rural, agricultural and environmental Strategic Research Programme (SRP), with particular focus on animal health and welfare applications; methodological statistical research; quantitative services for externally-funded projects; and training in data analysis and statistical modelling. I am based at the BioSS Headquarters in Edinburgh, but also spend some days providing on-site support at the Moredun Research Institute.
My areas of specialisation include:

Research profiles

Some current interdisciplinary projects

Methodological research

My principal area of methodological expertise is compositional data analysis and its applications. Compositional data refer to multivariate data accounting for relative amounts representing parts of some whole, typically measured in units like percentages, parts per million, mg/m3, minutes/day, or similar. Hence, measurements on the different parts of a composition provide relative information and it is appropriate to analyse and interpret them in relation to each other and not in isolation, particularly using the specialised log-ratio methodology as an alternative to ordinary multivariate methods. Some of my key contributions to the area include principled methods and software to deal with zero inflation and censoring problems (e.g. presence of values below the limit of detection in chemical compositions). I work on novel compositional models as applied to diverse scientific areas like animal behaviour, physical activity and human health , livestock methane production, food nutritional labelling and water catchment and environmental research. Another area of interest is the development of robust MALDI mass spectrometry data pre-processing algorithms and predictive models aimed at the accurate identification and differentiation of bacterial strains like Escherichia coli and Campylobacter from complex proteomic spectral profiles. This work was initiated with funding from the Scottish Government's Strategic Partnership for Animal Science Excellence (SPASE, 2011-16) and it is currently continued under the SRP programme. Software packages developed in relation to these areas of work include zCompositions and MALDIrppa.

Association between VFA and animal menthan yield.
Association between the VFA composition [propionate, Acetate x butyrate, others] and individual animal methane yield (CH4; grams per kg of dry matter intake in natural log scale) accounting for diet type (concentrate, mixed, forage). The ratio of the combination of acetate and butyrate to propionate, which is analogous to the so-called glucogenic ratio, was found to be a key driver of the relationship.

Staff, Students & Associates


Research Students

BioSS Associates