Tahira Jamil

Postdoctoral Fellows

Post-doctoral Fellow

Alumni

Location:

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

Social Profile:

Biography

I am an 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 Interests

Data Visualization, Statistical Analytics, 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)
  •   Multiple stressor effects on coral reef ecosystems. J. I. Ellis,  T. Jamil, H. Anlauf, ... , I. Hoteit. Global Change Biology, 25(12), 4131–4146, (2019)
  •   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)
  •   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)
  •   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)
  •   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)

Education

  • PhD, Bio-statistics, Wageningen University, Netherlands

KAUST Affiliations

  • Computational Bioscience Research Centre (CBRC)
  • Biological and Environmental Sciences and Engineering Division (BESE) ​​​​

Research Interests Keywords

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