Ruiman Zhong 钟蕊蔓

Ph.D candidate in Statistics

King Abdullah Univeristy of Science and Technology

Biography

Hi, my name is Ruiman. I am a Ph.D. candidate in Statistics at the King Abdullah University of Science and Technology, studying under the supervision of Professor Paula Moraga in her Geospatial Statistics and Health Surveillance Research Group.

Before joining KAUST, I obtained my Master’s Degree in Statistics (August 2020) from Katholieke Universiteit Leuven, Belgium. My research interests include spatial and spatial-temporal data modeling.

Interests

Spatial temporal data analysis
Bayesian modelling
Machine learning

Education

PhD in Statistics, 2021 - Present
King Abdullah University of Science and Technology
MS in Statistics and Data Science, 2019 - 2021
KU Leuven
BSc in Applied Statistics, 2013 - 2017
Sun Yat-sen University

Skills

Technical

Python

Data Science

Hobbies

Hiking

Swimming

Reading

Experience

CEO

GenCoin

January 2021 – Present California

Responsibilities include:

Analysing
Modelling
Deploying

Professor of Semiconductor Physics

University X

January 2016 – December 2020 California

Taught electronic engineering and researched semiconductor physics.

Accomplishments

Neural Networks and Deep Learning

Coursera Jan 2021

See certificate

Blockchain Fundamentals

edX Jan 2021

Formulated informed blockchain models, hypotheses, and use cases.

See certificate

Object-Oriented Programming in R

DataCamp Jul 2020 – Dec 2020

See certificate

Projects

Example Project

An example of using the in-built project page.

External Project

An example of linking directly to an external project website using external_link.

Gallery

Featured Publications

Ruiman Zhong, Robert Ford

July, 2013 In ICW

An example conference paper

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Recent Publications

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Ruiman Zhong, Paula Moraga (2023). Bayesian hierarchical models for the combination of spatially misaligned data: a comparison of melding and downscaler approaches using INLA and SPDE. Journal of Agricultural, Biological and Environmental Statistics.

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André Victor Ribeiro Amaral, Elias Teixeira Krainski, Ruiman Zhong, Paula Moraga (2023). Model-Based Geostatistics Under Spatially Varying Preferential Sampling. Journal of Agricultural, Biological and Environmental Statistics.

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Ruiman Zhong (2019). An example preprint / working paper.

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