About Dr. Ibrahim Soumare
Dr. Ibrahim Soumare is a statistician and consultant with years of experience in both academia and applied research. He is also the founder of Soumare Consulting, where he helps organizations, researchers, and businesses turn complex data into clear and actionable insights.
His work emphasizes methodological rigor, transparent reporting, and impactful applications of statistics and machine learning. Whether designing experiments, building predictive models, or developing automated reporting systems, Dr. Soumare's mission is to provide solutions that are both reliable and practical.
Publications
Soumare, Ibrahim. (2025). Fair Model Comparison Between Circular and Linear Models: A Simulation-Based Evaluation Using Circular Loss Functions [Working paper].
Kumar, Shria and Moghaddam, Saltenat and Chyou, Darius E and Soumare, Ibrahim and Sussman, Daniel A. (2024). Demographics, distance to gastrointestinal specialists, and social deprivation are associated with advanced stage of gastrointestinal cancer diagnosis. Annals of Gastroenterology, 37(2), 206.
Soumare, Ibrahim. (2022). Performance of Permutation Tests Using Simulated Genetic Data [Doctoral dissertation, North Dakota State University].
Soumare, Ibrahim. (2020). Comparing performance of anova to poisson and negative binomial regression when applied to count data [Master's thesis, North Dakota State University].