The following bite-sized sections will tell you a lot about me in a few minutes:
Jo-fai specialises in developing decision support systems via data mining, optimisation and visualisation. He is currently a final year EngD candidate in Hydroinformatics. He won the best young researcher award at an international conference for his research on sustainable drainage. Prior to his return to academia, he was an asset investment strategy consultant providing decision support technology to the utilities sector.
I discuss my research and open-source projects in details using my blog (instead of this personal page).
It is one of R-bloggers' 550+ contributing blogs.
Interested in the behind-the-scenes stories of my projects?
Go to my blog
Recently, I wrote a guest blog post for H2O (deep learning) and Domino (cloud computing) explaining how to use their technologies for a Kaggle (data mining) competition.
My project is a four-year engineering doctorate (EngD) research funded by EPSRC and XP Solutions. The aim is to develop a new decision support framework for drainage design evaluation and optimisation. The project is co-supervised by University of Exeter and XP Solutions under the STREAM research initiative. For more information, see this Prezi.
See all my projects and source code on GitHub.
Being a researcher with industrial sponsors, I am lucky to have regular opportunities to present my work at conferences. Here are some of my previous talks and poster presentations:
Outside my main discipline, I was invited to give a talk and a poster presentation about my open-source projects.