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 B.Sc. in Microbiology from Obafemi Awolowo University in Nigeria. After a brief stint teaching high school Biology, he moved to the U.S. and completed an M.S. in Biotechnology at the Catholic University of America in 2015. He later earned a Ph.D. in Biochemistry and Molecular Biology from the University of Georgia under Arthur Edison, where he studied xenobiotic metabolism in C. elegans and used metabolomics and machine learning to identify urinary biomarkers for renal cell carcinoma.
In the Fernández Lab, Olatomiwa has contributed to ovarian cancer metabolic biomarker discovery studies. He has also implemented automated machine learning and explainable AI for metabolomics data analysis for cancer diagnostics. His current research focuses on leveraging Large Language Models (LLMs) in scientific research—for instance, he has used LLMs to map the landscape of metabolomics research and is now exploring LLM fine-tuning for predictive chemistry tasks.
Outside of academia, Olatomiwa enjoys playing soccer, creating video essays (available at youtube.com/@epistemeEngine), writing AI apps, and maintaining an AI blog at theepsilon.substack.com.