Temi is a recent AI graduate from the University of Wolverhampton and a part-time student at 42 London, a peer-to-peer coding school where she is building expertise in systems programming. She has worked as a data analyst and machine learning engineer across legal tech, marketing science, and performance analytics.

A self-directed project exploring nanopore sequencing spurred her interest in biological signal analysis, and she is now looking to apply her data science and ML skills to health and biological systems. Through her internship at KCL/GSTT, she hopes to deepen her expertise in health data science and gain hands-on experience with real-world clinical and biomedical datasets.