Andres Abeliuk

Assistant Professor of the Department of Computer Science at the University of Chile and researcher at the National Center for Artificial Intelligence (CENIA). Ph.D. in Computer Science from the University of Melbourne, Australia. His thesis was on the optimality and predictability of online markets with social influence. He then worked as a postdoctoral researcher at the MIT Media Lab, where he studied algorithms and complexity theory, and their applications in online dating markets, artificial intelligence and ethics. He was a researcher at the University of Southern California (USC), developing hybrid geopolitical forecasting systems that integrate human prediction components, through crowdsourcing, along with machine learning.

His research studies the interaction between algorithms and human dynamics in sociotechnical systems. Using a multidisciplinary approach, he applies techniques such as machine learning models, optimization, game theory and online experiments to guide collective behavior towards more efficient and equitable outcomes. His research has been published in Nature Communications, ACM Transactions on Economics and Computation, Journal of Artificial Intelligence Research, Quarterly Journal of Operations Research, PLoS ONE, Scientific Reports, IJCAI, WWW, EMNLP and ACM WebSci.