While working in the Hadlock Lab as a Postdoctoral Fellow, Trust Odia applied machine learning methods and computational algorithms to clinical and biological data for inference, predictive, discovery and descriptive purposes in health science. Trust Odia joined the lab with bachelor’s and master’s degrees in computer science and a PhD in Bioinformatics from the University of Stellenbosch in Cape Town, South Africa, where he applied machine learning methods to analyze peripheral blood RNA-seq and lung PET-CT data collected from patients following Tuberculosis treatment.

Trust Odia went on to the University of Texas SW to work as a Bioinformatician.