Olatomiwa is currently a President’s Postdoctoral Fellow at Georgia Tech, specializing in the application of machine learning and AI to metabolomics research.
In 2012, he earned a BSc degree in Microbiology from Obafemi Awolowo University in Nigeria. Following his graduation, he briefly taught Biology at a high school in Nigeria before moving to the United States to pursue an MS degree in Biotechnology at the Catholic University of America, which he completed in 2015. Subsequently, he received a Ph.D. degree in Biochemistry and Molecular Biology from the University of Georgia, under the mentorship of Arthur Edison. During his time at the Edison Lab, he conducted research on xenobiotic metabolism in C. elegans and utilized metabolomics and machine learning to identify renal cell carcinoma biomarkers in urine samples.
In the Fernandez Lab, Olatomiwa has contributed to ovarian cancer metabolic biomarker discovery studies. He has also been instrumental in implementing automated machine learning and explainable AI in metabolomics data analysis. Currently, his research is centered on utilizing natural language processing (NLP) to delineate the landscape of metabolomics research and exploring LLM-based agentic AI systems for scientific research.
Outside of his academic life, Olatomiwa enjoys playing soccer, creating video essays (which can be found at youtube.com/@epistemeEngine), writing python codes for AI apps, and maintaining an AI blog at theepsilon.substack.com.