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My main research area lies at the intersection of organisational economics, personnel economics, and labour economics. My research focuses on the dynamics of informal relationships and explores how firms can design organisations — by choosing organisational structure, allocating decision rights, adopting performance review and compensation methods — to align incentives and build trust. This research sheds light on how organisational design can be a source of competitive advantage. I became interested in these topics because they are obviously important, extremely relevant, and fundamentally, immensely fun to work on.

My research interests are mainly in the role of information in facilitating managers and capital market participants to make sound decisions. Toward this end, I researched 1) the incentive design that helps achieve the desired organisational purposes; 2) the type of information and the quality of such information that can facilitate the decision-making and incentive design, and mechanisms to obtain this information.

My advice for FBE students is never think of college as your final stop in learning. Think of college as the years that shape your learning horizon, and build your self-learning and critical thinking skills. These are much more important for your life and self-development than learning the knowledge from one or two textbooks.

My research interests are mainly in data science, which analyses and enriches data. Modern technology has led to datasets of increasingly large and complex structure, which prohibits the direct application of conventional methodology This type of phenomenon is omnipresent in various areas such as economics, business, finance, biology, healthcare, etc. My primary research focus is to design efficient and effective tools to cope with massive amounts of data, which will eventually advance science, improve business and enhance wellbeing.

My advice in my own teaching is always ‘give a man a fish and feed him for a day — yet teach him to fish and feed him for life’, and therefore my advice to students is ‘learn how to fish instead o asking for a fish’, which is the most crucial ability one should learn in college.

My research interests lie in the area of multi-sided markets, including media markets and matching markets. The evolution of the media industry is happening at an unprecedented speed. The entire ecosystem involves many participants, including media platforms, advertisers, content suppliers, search engines, ad exchanges, news aggregators, consumers, etc. I believe the research in this area will generate important managerial implications such as media platform pricing, content provision, news aggregation, as well as useful policy guidance.

My advice to FBE students is that learning does not only happen in classrooms. In fact, most learning happens outside classrooms.

My research interests lie in applying machine learning and AI to economics and finance. On the one hand, the potential and benefits of implementing data technology in areas such as business operations, economics and finance are growing fast — for example, digital economy, logistics and financial technology. On the other hand, the data technology itself — namely, machine-learning algorithms — have been developed and are still under fast development.

I believe that, for students of business schools, it is important to be aware of the opportunities in the joint field of data science and business. With data science technology, the old business systems become more efficient and new business models rise. I think the training programmes of FBE in data science will broaden our students’ vision and future career development.