Ismaila Ba

Assistant Professor, Teaching Stream (Limited Term)
Ontario Power Building, Room 9165, 700 University Ave.
ismaila.ba@utoronto.ca

Campus

  • Downtown Toronto (St. George)

Fields of Study

  • Data Science
  • Interdisciplinary Research
  • Statistical Computing
  • Theoretical Statistics

Areas of Interest

  • Statistical Inference
  • Variational Bayesian Methods
  • Spatial Statistics
  • Statistical Hydrology
  • Analysis of Microbiome Data

 

Biography

Ismaila Ba received his PhD in statistics from the Université du Québec à Montréal in 2022. His main research interests are in statistical models and inference methodologies for high-dimensional data, especially, for data from genomic platforms (single-cell sequencing & microbial/metagenomic sequencing) and for spatial point pattern data. He also has an interest in applying statistical methods to hydrology, particularly using probability distributions to model extreme events.

Awards

CANSSI Distinguished Postdoctoral Fellow