Ruinan Wang

Background

About Ruinan Wang

I’m a PhD candidate in Machine Learning at the University of Bristol, focusing on Bayesian optimization, scalable training algorithms, and deep learning efficiency. My research explores how adaptive optimization and automated model selection can make AI systems faster, more robust, and interpretable. I developed HyperSense, an hyperparameter optimization framework that improves HPO efficiency and generalization in deep networks. Beyond research, I’ve collaborated with Lloyds Bank, National Highways, and Abu Dhabi Airports to apply machine learning and data analytics to real-world problems in finance and infrastructure. Passionate about bridging AI research and practical deployment, I’m particularly interested in generative AI, foundation model optimization, and responsible, scalable AI development.