Summary
Gbetondji Dovonon is a PhD student in Artificial Intelligence at UCL with eight years of hands-on experience in machine learning research and applied ML engineering. He blends deep academic work on neural networks, generalization, and uncertainty with industry experience applying Bayesian optimization to material design and building chatbot and prototyping solutions. His research has been presented at venues such as ACM Compass and Deep Learning Indaba, reflecting both technical rigor and engagement with the ML community. Based in London, he brings an Africa-focused perspective from his AIMS MSc, driving adoption of data-driven AI solutions across the continent. Notably, he has applied probabilistic methods to prognostic modeling during a Vector Institute internship, showing a sustained interest in uncertainty-aware ML. He combines strong research credentials with practical product-minded implementations, making him effective at moving ideas from papers to prototypes.
8 years of coding experience
2 years of employment as a software developer
Bachelor of Science - Bsc, Computer Science, Bachelor of Science - Bsc, Computer Science at Ashesi University
Master's degree, Machine Intelligence, Master's degree, Machine Intelligence at African Institute for Mathematical Sciences
University College London