Christopher odoom
Ph.D. Candidate
University of Massachusetts, Amherst
2024 - Present
My research at UMass Amherst focuses on statistical methods that improve how we estimate relationships in data. I specialize in non-parametric techniques that offer both theoretical rigor and practical applications. With experience in statistical consulting and R programming instruction, I help translate complex analytical concepts into practical solutions. My work has been published in scientific journals and recognized at regional symposiums. I'm interested in applying statistical expertise to interdisciplinary challenges and welcome collaborative opportunities with academic and industry partners.
May 2024
Simulation comparing distributions and survival curves for different likelihood function specifications using Bayesian approaches including Gibbs and Metropolis Hasting sampling.
May 2023
Developed a multivariate multiple linear regression model to understand dynamics in bike rentals and studied effects of non-normal errors on regression inference.
May 2023
Developed a robust Generalized Additive Model to predict diabetes status based on risk factors such as body mass index.
December 2022
Developed prediction sets for classification problems using full and inductive conformal prediction methods, with Python implementation.
December 2022
Developed a Poisson regression model to understand factors contributing to expected goals in top five soccer leagues including the English Premier League.
October 2022
Comparative study investigating differences between classical and Bayesian regression approaches through simulation.
Scientific African, 24, e02211, 2024
Read PublicationIntelligent Computing and Optimization, Springer Nature Switzerland, pp. 580-598, 2024
Read PublicationIntelligent Computing and Optimization, Springer Nature Switzerland, pp. 555-568, 2024
Read PublicationApplied Mathematics, 17(2), pp. 261-271, 2023
Read PublicationFeel free to reach out to me for collaboration opportunities, research inquiries, or just to say hello!
University of Massachusetts, Amherst, USA