STOCHASTIC ANALYSIS · GENERATIVE MODELLING · HEALTHCARE DATA SCIENCE · AI-ASSISTED DEVELOPMENT

Danqi Zhuang

PhD Candidate in Mathematics and Statistics

I develop statistical, stochastic, and computational methods for data-driven problems, with interests spanning healthcare data science, generative modelling, and AI-assisted research workflows.

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About Me

Stochastic, statistical, and generative methods for data-driven problems.

I am a PhD Candidate in Mathematics and Statistics at the University of Strathclyde, supervised by Dr. Yue Wu. My work combines stochastic analysis, statistical modelling, and computational methods for data-driven research.

I am particularly interested in building research workflows that connect mathematical ideas with practical data problems, including longitudinal health data, rough path theory, generative models, and AI-assisted scientific computing.

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Interested in collaboration, research, or internship opportunities?

I am open to academic collaboration and opportunities related to healthcare data science, statistical modelling, stochastic analysis, and scientific computing.

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