Crowdsourcing, fairness and polarization and processes on networks from a variety of viewpoints.
I work on novel problems that have arisen in the highly interconnected modern world, including crowdsourcing, fairness and polarization, online advertising, and processes on networks. I study these problems from a variety of viewpoints, including algorithms, machine learning, data science and networks.
Research focuses on problems that arise in the context of the Internet and its socio-economic implications, approaching these problems by using both experimental and theoretical techniques. Work spans multiple areas including social and computing crowdsourcing, data and network science, and mechanism design and algorithm, with a current emphasis on fairness and diversity in artificial intelligence and machine learning.