Dr Yuhan Zhou
Machine Learning Researcher
Yuhan achieved a first-class bachelor's degree in Informatics from China in 2013. Subsequently, he obtained a Master's degree in Artificial Intelligence (AI) at the University of Edinburgh in 2014. Over the next three years, Yuhan immersed himself in scientific research across the UK and Germany, honing his skills and deepening his understanding of AI methodologies with biological data.
In November 2017, Yuhan embarked on a significant role in his career by joining the Marie Skłodowska-Curie grant-funded PhD project, "Keep Control," under the Horizon 2020 research and innovation program of the European Union. This project, based at the University of Groningen in the Netherlands, focused on leveraging machine learning algorithms to identify gait features highly correlated with aging and neurodegenerative diseases. In March 2021, Yuhan successfully defended his doctoral thesis, culminating in the attainment of his Ph.D. degree.
Following his academic experience, Yuhan transitioned into an industrial role as the Director of Data Science at a biotechnology company in China. He led a dynamic team dedicated to harnessing AI algorithms to uncover various disease-related biomarkers and drug targets, contributing to early diagnosis and precision medicine.
Yuhan's research expertise lies in utilizing machine learning and deep learning methodologies to identify early treatment targets for aging-related diseases and predict drug properties. His work encompasses the integration of diverse datasets, including multi-omics data, clinical tests, and IMU-based gait data, demonstrating his interest and expertise in developing AI algorithms capable of handling multimodal data.