Olatomiwa Bifarin
My research interest spans computational metabolomics, cancer metabolism, applied machine learning, natural language processing, & AI for Science. I hold a PhD in Biochemistry and Molecular Biology from the University of Georgia advised by Art Edison, and I conducted postdoctoral research at Georgia Tech in the Fernandez Lab.
Currently, I am on a self-imposed career break to focus on some self-directed projects on AI engineering. I am also a research affiliate at Georgia Tech.
obifarin [at] yahoo [dot] com
News
2025-04-07 Invited seminar at Catholic University of America, Department of Biology: “Machine Learning Unveils the Language of Metabolites”.
2025-04-01 Keynote presentation (with Dr. Facundo Fernandez) at the 2025 Annual Meeting of Southern Section of AOAC International in Atlanta, Georgia: “Machine Learning in 21st Century Analytical Science.”
2025-01-22 Talk at Morehouse School of Medicine, Department of Microbiology, Biochemistry, and Immunology: “Machine Learning Unveils the Language of Metabolites.”
2024-11-18 Talk at Harvard University, Department of Chemistry and Chemical Biology: “Machine Learning Unveils the Language of Metabolites.”
Publications
A Large Language Model-Powered Map of Metabolomics Research
Analytical Chemistry, 2025
A comprehensive analysis of metabolomics research trends using large language models to map the evolution and future directions of the field.
Automated machine learning and explainable AI (AutoML-XAI) for metabolomics: improving cancer diagnostics
Journal of the American Society for Mass Spectrometry, 2024
Development of automated machine learning pipelines with explainable AI for enhancing cancer biomarker discovery in metabolomics datasets.
Serum Lipidome Profiling Reveals a Distinct Signature of Ovarian Cancer in Korean Women
Cancer Epidemiology, Biomarkers & Prevention, 2024
Identification of serum lipid biomarkers for ovarian cancer detection using advanced metabolomics and machine learning approaches.