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da2343@nau.edu

(520) 491-0072

School of Informatics, Computing, and Cyber Systems

Northern Arizona University

Flagstaff, Arizona, 86011, US

I am a Ph.D. student in the School of Informatics, Computing, and Cyber Systems at Northern Arizona University, with an international research profile spanning multiple continents.

I am the recipient of prestigious international research funding totaling over $30,000, including the Quebec government’s PBEEE Research Mobility Scholarship ($12,000 CAD) and the European Union’s DATAIA International Mobility Grant (€13,500). These awards have enabled international research collaborations with leading institutions.

In Spring 2025, I will be conducting research as a Statistical Learning Researcher at INRAE/Université Paris-Saclay in France, focusing on Poisson Log-Normal (PLN) model benchmarking for microbial data analysis.

I have presented my research at prestigious institutions including the University of California, Berkeley (2024), Arizona State University ML Day (2023), and the University of Arizona (2023), demonstrating the international impact of my work.

My research interests focus on developing fast, accurate, and interpretable algorithms for large-scale biological data analysis, particularly in microbiome network inference and statistical modeling. I leverage High-Performance Computing to address computational challenges, utilizing NAU’s Monsoon cluster to run thousands of parallel jobs for hyperparameter optimization.

news

Mar 06, 2025 Paper on “Cross-Validation for Training and Testing Co-occurrence Network Inference Algorithms” to the BMC Bioinformatics Journal has been accepted and published online. You can read it here.
Apr 15, 2024 Submitted my paper on “Cross-Validation for Training and Testing Co-occurrence Network Inference Algorithms” to the BMC Bioinformatics Journal which passed technical checks and was accepted for publication.

latest posts

selected publications

  1. Cross-validation for training and testing co-occurrence network inference algorithms
    Daniel Agyapong, Jeffrey Ryan Propster, Jane Marks, and 1 more author
    BMC Bioinformatics, 2025