Qinghua Zhou is a Research Associate in the fields of machine learning and artificial intelligence, King's College London. His PhD project focused on the algorithms for learning from high-dimensional and low-sample size data in medical applications. Before that, he received a bachelor's degree from the University of Sydney, majoring in applied mathematics and physics. He joined the Department of Mathematics at King's College London as a Research Associate in May 2022, working with Dr Oliver Sutton and Prof. Ivan Tyukin.

Research interests

• Machine learning, neural networks and artificial intelligence
• Learning from high-dimensional low-sample size data
• Computer vision and natural language processing
• Neuromorphic and reservoir computing

Qinghua’s research focuses on exploring pathways towards robust, stable and trustworthy AI systems. This includes the development of high-performance software and efficient scaling of large-scale simulations. His most current work concerns the principled theoretical and computational analysis of modern computer vision and large language models, their structures, functions, optimization, and methods to edit or attack them.

Additional information

• Google Scholar 
• Personal webpage