Dr. Nicosha B DeSouza

Statistician / Epidemiologist - DEBU


Division of Population Health Sciences
School of Medicine
University of Dundee
The Mackenzie Building
Kirsty Semple Way, Dundee DD2 4BF

Phone Number:

+(44) 01382 383149

Email Address:



Obtained a B.Sc in Microbiology (2007) from Goa University, M.Sc in Quantitative Genetics and Genome Analysis (2008) from the University of Edinburgh and a PhD in Molecular Epidemiology of Lung Cancer from the University of Liverpool (2014).

Currently working as a statistician/epidemiologist at the University of Dundee on the project “Molecular epidemiology of Clostridium difficile in Scotland“ since April 2014.


Has experience in handling human genome data for statistical analyses associated with while genome studies. Also, experienced in handling healthcare datasets involving demographic and patient associated information.

Analysed whole genome data in a case control analysis to identify genomic variants associated with lung cancer. Conducted pathway analysis as well as survival analysis to identify crucial pathways and variants associated with shorter survival in lung cancer patients, respectively. Developed incidence model that predicted the incidence on lung cancer using the Health Episode Statistics (HES) dataset. Proficient in various programming softwares such as Java and Perl and also use of statistical packages such as R and STATA.

Current research involves linking Scottish healthcare data and bacterial sequence data using isolates from patients. Research also covers analysing bacterial whole genome sequences to look for any transmission patterns and survival analysis of patients to evaluate the effect of gene specific mutations and whole genome variations.  


Presented poster titled, comorbidity and future lung cancer risk in a UK high risk primary care practice (Abstract no. -2188) at the 14th World Conference on Lung Cancer (WCLC 2011) in 2011.

Presented 3 posters at the NCRI conference held in November 2012.

1) Identification of Single Nucleotide Polymorphisms associated with Lung Cancer in a Genome-Wide Association Case-Control Study. Abstract no. -  0130.

2) The influence of obesity and other essential comorbidities on lung cancer. Abstract no. -  0206.

3) Identification of single nucleotide polymorphisms associated with survival of lung cancer patients using logistic regression for grouped survival data. Abstract no. -  0132.

Presented a talk (abstract -1612) on the “The molecular epidemiology of Clostridium difficile in Scotland” at the FARR conference in 2015, held at the University of St. Andrew’s.