Big Data Solutions to Boost Bio Intelligence Applications

With the growing need for analysis and useful ways to employ the huge amount of information now available in many different fields, the opening of the HKUST Big Data for Bio Intelligence Laboratory is both a timely and valuable addition to the University’s cross-disciplinary research endeavors.

The laboratory, established following a generous donation from industrialist Mr Raymond Chu, will focus on analytic solutions for big data in biology and healthcare, including applications related to biomedicine and sustainable living. It will be co-directed by New Bright Professor of Engineering Prof Qiang Yang, Chair Professor and Head of Computer Science and Engineering, and Prof Yang Wang, Chair Professor and Head of Mathematics, and seek to act as a bridge between academia and practitioners.

Research covered will include “deep learning solutions”, which help computers make decisions, and “transductive transfer learning” that allows computer models to be adapted for use in different application domains. Exploration will also encompass genetic farming, looking at how to automate and make the process more user-friendly as well as scaling it to enable the use of very large data sources.

HKUST President Prof Tony F Chan said he was very grateful to Mr Chu for supporting the laboratory and delighted it would assist the University in providing new insights into the rapidly developing big data research area, which aligns with HKUST’s strategic direction.