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Statistical Laboratory

Martina Scauda

I am a PhD student supervised by Qingyuan Zhao. My current research focuses on causal inference and its applications in empirical legal studies.

Publications

Correcting for confounding in longitudinal experiments: positioning non-linear mixed effects modeling as implementation of standardization using latent conditional exchangeability
C Bartels, M Scauda, N Coello, T Dumortier, B Bornkamp, G Moffa
(2024)
(link to publication)
Physics-Informed Machine Learning Simulator for Wildfire Propagation
L Bottero, F Calisto, G Graziano, V Pagliarino, M Scauda, S Tiengo, S Azeglio
(2020)
(link to publication)

Frontpage talks

Cambridge Statistics Clinic
MR5 at the CMS
Statistics
Alexandra Carpentier, University of Potsdam
Cambridge Statistics Clinic
MR5 at the CMS
Statistics
Andre Wibisono, Yale University
31
May
14:00 - 15:00: Title to be confirmed
Statistics
Subhro Ghosh, National University of Singapore

Research Group

Statistical Laboratory

Email

ms2985@cam.ac.uk

Room

D0.04

Personal homepage

https://martinascauda.github.io

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    About the University

    Research at Cambridge