Dr Jérémie Nsengimana
- Position: Senior Research Statistician
- Areas of expertise: Epidemiology, Statistics, Bioinformatics, Genetics, Cancer immunology
- Email: J.Nsengimana@leeds.ac.uk
- Phone: +44(0)113 206 8974
- Location: Room 6.6 Clinical Sciences Building
- Website: Googlescholar | Researchgate
Profile
After training as Bioengineer (integrated BSc/MSc) and PhD in Statistical Genetics at the Université Catholique de Louvain (Belgium), I completed one year post-doctoral research at the International Agency for Research on Cancer (IARC, Lyon, France) before moving to the University of Leeds School of Medicine (Epidemiology and Biostatistics), where I have been designing epidemiological studies, developing novel statistical methodology and analysing large-scale cancer -omics data. I am involved in Medical student education and PhD supervision and in championing Equality and Inclusion values.
Research interests
My research focuses on cancer genetic susceptibility and biomarker discovery to inform stratified medicine. I design and apply statistical genetics methods to cancer aetiology and survival in collaboration with other university departments and in international consortia (TECAC, GENOMEL, MELGEN). My current interests encompass finding genetic loci involved in testicular cancer and biomarker discovery in melanoma. Analyses of large scale -omics data suggest a prominent role of the immune microenvironment in melanoma for patient survival. We are conducting studies to better understand the biological mechanisms of these observations and how to leverage them in precision medicine.
Qualifications
- Bsc
- MSc
- PhD
Student education
I teach undergraduate medical students on RESS module (Research Evaluation and Special Studies) in year 2 and 3. I am a member of the Course Management Team for RESS3.
Supervised PhD:
Rohit Thakur (2015 -): Developing statistical and bioinformatic analysis of genomic data from tumours (Co-supervision)
Joanna Pozniak (2015 -): Transcriptomic variation in primary melanoma in immunological pathways related to survival (Co-supervision)
Research groups and institutes
- Leeds Institute of Medical Research at St James's