Imperial College London

MrHarrisonZhu

Faculty of Natural SciencesDepartment of Mathematics

Research Postgraduate
 
 
 
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Contact

 

harrison.zhu15

 
 
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Location

 

Huxley BuildingSouth Kensington Campus

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Summary

 

Summary

I am a PhD student in Statistics at Imperial College London, in the EPSRC CDT in Modern Statistics and Statistical Machine Learning at Imperial and Oxford, supervised by Yingzhen LiSeth Flaxman and Maxime Rischard (Cervest). 

I am interested in Bayesian nonparametrics, Gaussian processes, approximate Bayesian inference and causal inference.

My personal website is at https://harrisonzhu508.github.io/

Feel free to reach out to me at hbz15 at ic.ac.uk.

Publications

Journals

Unwin H, Mishra S, Bradley V, et al., 2020, State-level tracking of COVID-19 in the United States, Nature Communications, Vol:11, ISSN:2041-1723, Pages:1-9

Monod M, Blenkinsop A, Xi X, et al., 2020, Report 32: Targeting interventions to age groups that sustain COVID-19 transmission in the United States, Pages:1-32

Flaxman S, Mishra S, Gandy A, et al., 2020, Estimating the effects of non-pharmaceutical interventions on COVID-19 in Europe, Nature, Vol:584, ISSN:0028-0836, Pages:257-261

Zhu H, Howes A, Eer OV, et al., Multi-resolution Spatial Regression for Aggregated Data with an Application to Crop Yield Prediction

More Publications