Work

My field is statistics, epidemiology and public heatlth with specific interest in genetic analysis of complex traits especially Omics-Analysis. I have worked with the SCALLOP consortium following Whitehall II, ELSA, EPIC-Norfolk, Fenland, InterAct, NSHD and Framingham. The EPIC-Norfolk genomewide association study contributed to consortia such as GIANT and CHARGE therefore myself as a highly cited researcher broadly in research.com’s genetics and medicine. My recent contribution was to The COVID-19 Host Genetics Initiative through The INTERVAL study.

Here are my biosketch, ResearchGate profile, and research.com entry.

Reproducible research

I have promoted reproducible research through curation and software implementation, presentations and data-driven projects. It is encouraging and awarding to receive your e-mail with comments or information on citations (as early collections from Google search and Google Scholar on R gap).

• Presentations. useR!2007, useR!2008, useR!2009, useR!2010, useR!2011, GWAS course, Henry-Stewart and local talks.
• Projects. consortium work, other projects, and cambridge-ceu GitHub organisation.

Professional activities

I have been a member of the Royal Statistical Society for approximately 20 years (My RSS). I served as an associate editor for The Scientific World Journal until July 2017 and now as an associate editor (login) for Frontiers in Genetics (blog network, Frontiers impact factors and profile) after about ten years as a review editor. Over years I have also been an occasional reviewer for the Lancet and many other journals.

Bookmarks from workplaces

(At Mermaid Live Editor, http://tinyurl.com/3sx6p23w)¹.

• KCL, https://www.kcl.ac.uk/, links with comments and a graphviz diagram from grViz.gv and mermaid.

  graph BT;
  e1 --> F1(Genetics);
  e2 --> F2(Epidemiology);
  e3 --> F3(Mathematical Statistics);
  e4 --> F4(Computer Science);
  U --> A(Public Health);
  A(Public Health) --> B(Genetic Epidemiology & Biostatistics);
  F1(Genetics) --> B(Genetic Epidemiology & Biostatistics);
  F2(Epidemiology) --> B(Genetic Epidemiology & Biostatistics);
  F3(Mathematical Statistics) --> B(Genetic Epidemiology & Biostatistics);
  F4(Computer Science) --> B(Genetic Epidemiology & Biostatistics);
  

• UCL, https://www.ucl.ac.uk/, links with comments.
• MRC, https://www.mrc-epid.cam.ac.uk/, links with comments.
• PHPC, https://www.phpc.cam.ac.uk/, links.

1. graph LR
   
   %% Nodes
   KCL(<a href="https://jinghuazhao.github.io/kcllinks.html" style="font-size: 25px;font-size:90%"><u>KCL</u></a><a href="https://jinghuazhao.github.io/iop/comments.txt" style="font-size: 16px;vertical-align: top;"><i class="fa fa-heart" style="font-size:16px;color:red"></i></a>)
   UCL(<a href="https://jinghuazhao.github.io/ucllinks.html" style="font-size: 25px;font-size:90%"><u>UCL</u></a><a href="https://jinghuazhao.github.io/ucl/comments.txt" style="font-size: 16px;vertical-align: top;"><i class="fa fa-heart" style="font-size:16px;color:red"></i></a>)
   MRC(<a href="https://jinghuazhao.github.io/mrclinks.html" style="font-size: 25px;font-size:90%"><u>MRC</u></a><a href="https://jinghuazhao.github.io/mrc/comments.txt"  style="font-size: 16px;vertical-align: top;"><i class="fa fa-heart" style="font-size:16px;color:red"></i></a>)
   PHPC(<a href="https://jinghuazhao.github.io/phpclinks.html" style="font-size: 25px;font-size:90%"><u>PHPC</u></a>)
   
   %% Node Connections
   KCL --> UCL --> MRC --> PHPC
   

   ↩