Kevin Y.X. Wang

Kevin Y.X. Wang

Data Scientist



As a kid, I was always fascinated with detective stories, and how one can make inferences on human behaviours based on simple observations and scientific principles. Today, I am a bioinformatics scientist at Illumina. In my day-to-day work, I use my statistical and data science skills to unravel complex variations to improve our understanding of biology and diseases. I love examining data, proposing hypotheses and making my data tell interesting and unexpected stories about the world we live in.

I am active on Twitter, always posting my analytical adventures and technical tips. I also release some of my analytical work through GitHub and tidytuesday webpage. My broad interest is in developing and applying statistical tools to understand complex data. My general specialisation is in applied statistics, data science and statistical package development in R and tidyverse.

I hold a PhD in statistics from the University of Sydney and worked as a research associate in 2019 and a statistician at CSL Behring in 2020. My research work focused on developing bioinformatics methods to enable prediction of patient clinical outcomes using omics data. In addition, I provided consultation and analytical insights to clinicians/biologists through numerous collaborative publications. I was a Postgraduate Teaching Fellow at the University of Sydney (2016-2019) and a contributor to the outreach program at the University with a strong record in workshops & seminars.

Download my CV.

  • Data science
  • Statistics
  • Bioinformatics
  • R/Python package development
  • PhD in Statistics and Bioinformatics, 2016-2020

    University of Sydney

  • Bachelor of Science (Adv Maths, Hon. Class I), 2012-2015

    University of Sydney


Bioconductor packages

Bioconductor-styled packages for research

Compare R & Python/SQL

Compare coding styles of R, Python and SQL


Applying bioinformatics tools to cricket

Data Visualisation

Visualisation of complex data/methods

Feature Selection

Various techniques in my research

Pokemon Data

Applying bioinformatics to Pokemon data

Project Euler

A collection of maths/coding challenges

Projects in the cloud

Using Docker and the Cloud


Weekly data project from R For Data Science

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