Ye Chengcong

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Professor G. Chiribella

The time of your Phd is a unique moment in your career. You have the opportunity to focus all your attention on research, and to become world-leading experts in your own area.
I look forward to hearing your experience in this exciting adventure, and to share mine with you.

Dr. Match W.L. Ko

Dear Students,

Innovation Wing provides us with an excellent opportunity to put our great ideas into reality with the state-of-the-art facilities and collaborative space. Please do not hesitate to come to me and share with me your ideas, so that I can learn from it and work together with you to convert it into reality. I am eagerly looking forward to meet you in the Innovation Wing. See you soon.

Best regards,
Match

Dr. Y.H. Kuo

Welcome to the family of Innovation Wing! At Innovation Wing, you will have the opportunities to apply what you have learned from the lectures for novel and fascinating applications. You will work together with world-class scholars and researchers and other talented students on projects and competitions, bringing joyful and unforgettable experiences to your study. I am looking forward to working with each of you on your amazing journey.

Dr. R.B. Luo

Luo received his B.E. degree in bio-engineering, as the top graduate, from the South China University of Technology in 2010 and his Ph.D. degree in computer science from the University of Hong Kong in 2015. He was a postdoctoral fellow in the Center of Computational Biology, McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine. Luo is a researcher working on 1) bioinformatics algorithm, 2) precision medicine, 3) metagenomics, and 4) literature mining. His research results have been published in peer-reviewed journals including Nature, Nature Biotechnology, Nature Machine Intelligence, Nature Communications, and Bioinformatics.

Prof. Reynold C.K. Cheng

We are entering the “Age of Big Data” – an extremely large amount of information is created every day, which is revolutionizing science and technology, governments, economy, and international development. A variety of sources contribute to the Big Data, including the Internet, Wikipedia, social networks (e.g. Facebook), micro blogs, mobile phones, and cameras. How can we perform large-scale and effective analysis and AI on such an unprecedentedly huge amount of data?