Tahira Jamil

Postdoctoral Fellows

Post-doctoral fellow



Building 3, Level 4. Office number: 4326-WS15


Analytical Statistician/ data scientist with extensive experience of applied and methodological research in academia. Enthusiastic for data analysis and interested in the applying statistical methods and analytical techniques for real life data. My current research focuses on developing statistically robust analysis to understand and finding patterns in samples from different conditions or environments in metagenomic datasets derived from the KAUST Metagenomic Analysis Platform (KMAP).

Research Interest

Data Visualization, Statistical Analytic, Geospatial data analysis, Machine Learning, Metagenomic Analysis.

Selected Publications

No evidence for temperature-dependence of the covid-19 epidemic. T. Jamil,   I. Alam,  T. Gojobori & C. M. Duarte. Frontiers in Public Health, 8, 436. (2020).https://doi.org/10.3389/fpubh.2020.00436

Multiple stressor effects on coral reef ecosystems. J. I. Ellis,  T. Jamil, H. Anlauf, ... , I. Hoteit. Global Change Biology, 25(12), 4131–4146. (2019).https://doi.org/10.1111/gcb.14819

Marine heatwaves reveal coral reef zones susceptible to bleaching in the red sea. L. G. C. Genevier, T. Jamil,  D. E. Raitsos, G. Krokos, & I. Hoteit. Global Change Biology, 25(7), 2338–2351. (2019).https://doi.org/10.1111/gcb.14652

Default “Gunel and Dickey” Bayes factors for contingency tables.T. Jamil,  A. Ly, R. D. Morey, J. Love,  M. Marsman & , E.-J. Wagenmakers. Behavior research methods, 49(2), 638–652. (2017).https://doi.org/10.3758/s13428-016-0739-8

What are the odds? Modern relevance and Bayes factor solutions for MacAlister’s problem from the 1881 Educational Times. T. Jamil,  M. Marsman ,  A. Ly, R. D. Morey  &E.-J. Wagenmakers. Educational and Psychological Measurement, 77(5), 819–830. (2017).https://doi.org/10.1177/0013164416667980

Bayesian inference for psychology. Part I: Theoretical advantages and practical ramifications. E.-J. Wagenmakers. M. Marsman, T. Jamil, A. Ly,  J. Verhagen, J. Love, et al. Psychonomic bulletin & review, 25(1), 35–57. (2018).https://doi.org/10.3758/s13423-017-1343-3



Ph.D. Bio-statistics, Wageningen University, Netherlands.

KAUST Affiliations

Computational Bioscience Research Centre (CBRC), Biological and Environmental Sciences and Engineering (BESE)

Research Interests Keywords

Data Visualization Statistical Analytic Geospatial data analysis Machine Learning Metagenomic Analysis.