Noemi Corsini
Noemi Corsini

Noemi Corsini

Research Associate · University of Cambridge

I am a Research Associate in Statistics at the University of Cambridge.

My research is about developing statistical methods for complex data, with a focus on network analysis, Bayesian inference, and density-based clustering. I like problems that sit at the edge of what theory can currently explain.

I also teach and try to make statistics feel a little less intimidating.

Network Data Bayesian Inference Density-based Clustering Categorical Data Latent Variable Models
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Research

My doctoral research centered on advancing density-based clustering methods for categorical and network data. I now develop statistical methodology for complex data, with particular emphasis on network analysis, Bayesian inference, and density-based clustering. My work sits at the intersection of methodological innovation and real-world application, guided by the belief that new statistical tools should both deepen theoretical understanding and empower researchers to answer questions that existing approaches cannot. My primary area of application at the moment is criminal data.

Publications
Preprints
Published
StatInsight
StatInsight

StatInsight is my independent statistical consulting practice. I work with organisations, researchers, and teams who need rigorous data analysis, statistical modelling, or methodological guidance — from study design through to interpretation and communication of results.

If you have a project that could benefit from statistical expertise, I would be happy to hear from you.

Visit statinsight.com
Contact

Feel free to reach out if you're interested in collaborating or just want to chat about my research topics! Send me an email, and we can arrange a call or meeting.