Hi, I'm Yan!
My job consists to help companies and researchers to analyse their datasets. I am skilled for most of the data-science steps: data pre-processing, application of statistical methods, data visualization and results communication.
I am currently working for the Queensland Brain Institute in Australia, where I develop data visualisation methods at the border between epidemiology and genetics.Publications Talks Twitter Github
From Data to Viz - A classification of graphics based on input data format
July 2018 - 6 minutes read
I’m delighted to announce a new dataviz project called Data to Viz. It is a classification of chart types based on input data format. It comes in the form of a decision tree leading to a set of potentially appropriate visualizations to represent the dataset. - Read more
Pimp my RMD - A collection of tips for R Markdown
July 2018 - 2 minutes read
R markdown creates interactive reports from R code. I’ve created a document that provides a few tips I use on a daily basis to improve the appearance of my html outputs (my memory aid). This document is built using R Markdown and hosted on Github. - Read more
I've developped several websites dedicated to data visualization. These resources are visited thousands of time every day.
Genetics in the UK
Assessing the geographic distribution of genetic traits
Coming soon (paper under review)
The Como Project
A study of interconnection between mental disorders. Published in JAMA Psychiatry
Coming soon (publication under review)
Visualize how all the co-authors of my previous supervisor are inter connected.
A dataviz challenge on water pollution in France. Third price at the GreenTech Challenge.
Online tool to estimate standard error of allele frequency in pool-sequencing experiments. Published in Molecular Ecology
"[...] Yan did an absolutely brilliant job. He has multiple skills and qualities making him a great data science project member, and even leader : excellent knowledge and learning ability of diverse statistical and data management tools obviously, and a real knack for data viz."
"Yan always performed with outstanding skills and impressive capacity for adaptation and efficiency. His job was crucial for the publication of important results. [...] I thus highly recommend him for any work concering framing and analysis of huge data sets."