WILL CONG: Hi, everyone. I'm Will Cong. I'm the Wright Family Professor of Management and Associate Professor of Finance in the Johnson Graduate School of Management of the Cornell SC Johnson College of Business. I'm also the founding director of the Fintech Initiative at Cornell.
My research centers around financial technology, digital economy, entrepreneurship, and business data science. I develop a theoretical framework, machine learning tools, et cetera, to understand the economics of emerging technologies and their socioeconomic implications.
I've been really excited about two lines of work lately. First, my coauthors and I have laid down the foundations for blockchain economics and tokenomics through our prior work on smart contracting, token valuation, cryptocurrency valuation, and monetary policy for blockchain platforms, or digital platforms in general.
Another area that I've been really excited about and have devoted myself to entails developing new AI models for financial applications. We have modified the latest deep reinforcement learning models that's used in machine translation, AlphaGo, and self-driving, to portfolio management. That's generating really superior performance to the models we had before, and it's also suitable for the investment advising and max customization. So there are many applications in the industry.
In ongoing work, we're exploring how AI models and also generative adversarial networks exist in multidimensional, managerial decision making and can help us understand firm managers' objectives. I've personally advised [INAUDIBLE] Chainlink, BlackRock, and several other firms. I've been consulted for the [? Telegrams ?] ICO lawsuit and have also been invited to give talks at various regulatory bodies and government agencies.
I've looked at how stimulus package, IPO market intervention, and the growth of digital platforms affect resource allocation, corporate innovation, entrepreneurship, and financial inclusion that also involves gender inequality issues. My coauthors and I have work on Wallstreeting, which is a form of market manipulation detection, and tax loss harvesting. In response to our research, several crypto exchanges and third-party data aggregators have changed their metrics. There are several other ongoing projects in which we look into the antitrust issues concerning large tech platforms, the role of big data, money through the implications of cryptocurrencies, which are all very relevant for recent reports, discussion papers, as well as hearings at the White House, the House of Representatives, and Urban Affairs.
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Cong and his co-authors continue to build foundations for blockchain economics and tokenomics, adding to their ongoing work on smart contracting, token valuation, cryptocurrency valuation, and monetary policy for digital platforms. They are also developing new AI models and modifying existing learning models for portfolio management, suitable for investment advising and mass customization.