Codex Genetics Limited (Codex) all begins with a mission—to help personalize cancer treatments through the use of latest genomics technology. Codex was incorporated in 2013 Q1, with financial & business support from the HKSAR Innovation and Technology Commission, Hong Kong Science and Technology Park and the Chinese University of Hong Kong. Codex has curated and transformed recent advances in cancer genomics research into clinically actionable insights. Through the use of next generation sequencing and other latest technologies, Codex has developed a cancer screening test – GENESIS, which could detect aberrations in cancer genes that are responsible for a wide range of cancers.With the latest introduction of our Clinical Decision Support Platform (CDSP), we have also extended our service to patients with neuro-degenerative diseases. Together with our actively growing pharmacogenomics database, the GENESIS test provides valuable insights into the specific causes of each individual tumor, enabling clinicians to personalize treatment for cancer patients during routine oncology practice.

To teach the course--"Applications of Bioinformatics in Molecular Diagnostics".

Matplotlib 2.x By ExampleMatplotlib 2.x By Example illustrates the methods and applications of various plot types through real world examples. It begins by giving readers the basic know-how on how to create and customize plots by Matplotlib. It further covers how to plot different types of economic data in the form of 2D and 3D graphs, which give insights from a deluge of data from public repositories, such as Quandl Finance. You will learn to visualize geographical data on maps and implement interactive charts. By the end of this book, you will become well versed with Matplotlib in your day-to-day work to perform advanced data visualization. This book will guide you to prepare high quality figures for manuscripts and presentations. You will learn to create intuitive info-graphics and reshaping your message crisply understandable.Matplotlib for Python Developers, Second EditionMatplotlib for Python Developers, Second Edition shows you how to create attractive graphs, charts, and plots using Matplotlib. You will also get a quick introduction to third-party packages, Seaborn, Pandas, Basemap, and Geopandas, and learn how to use them with Matplotlib. After that, you’ll embed and customize your plots in third-party tools such as GTK+3, Qt 5, and wxWidgets. You’ll also be able to tweak the look and feel of your visualization with the help of practical examples provided in this book. Further on, you’ll explore Matplotlib 2.1.x on the web, from a cloud-based platform using third-party packages such as Django. Finally, you will integrate interactive, real-time visualization techniques into your current workflow with the help of practical real-world examples

1. Published scientific articles in the field of cancer genomics, diabetes, molecular biotechnology, rare genetic diseases, and synthetic biology.2. Led the development of large scale screening projects of patients with neurodegenerative disease, as well as patient registry portal.3. Prepared grant applications.4. Assembled the genomes of marine organisms.5. Implemented the hardware, networking and software architecture of the server cluster (196 CPU cores, 3TB RAM, 420TB disk space) in Prof. Ting-Fung Chan's lab.6. Provided guidance to junior Ph.D. students, MSc. students, and summer interns on bioinformatics, transcriptomics, genomics, LncRNA and small RNA analysis. 7. Taught in CMBI4201: Genomics and Transcriptomics practical session.

Department of Anatomical and Cellular Pathology, Faculty of MedicineTo develop analytical pipelines and decipher driving events that could lead to liver cancer for the ‘Liver Cancer Genome Project’.

• Reviewed “Mastering Matplotlib”--a book that explores big data visualization, clustering and analysis of complex data.• Reviewed “Matplotlib Plotting Cookbook”--a book dedicated to generating great scientific visualizations with Python.