I’m an Assistant Instructional Professor at the University of Chicago where I teach courses on computational and research methods, collective intelligence, and large-scale online experiments. My research examines collective intelligence problems in complex systems. I use theory-driven investigations that rely on mining Big Data about human interactions and behavior, online experiments and surveys, crowdsourcing, natural language processing, and machine learning and statistical modeling frameworks. Supported by this novel combination of approaches, my research advances theories of collective intelligence and complex systems and makes methodological contributions toward computational social science, network science, social computing, and human-computer interaction. The core contributions of my work are demonstrated by academic presentations in prime venues such as the International Conference on Computational Social Science (IC2S2), the Network Science Society (NetSci), the International Communication Association (ICA), and several well-received publications at the Association for Computational Linguistics (ACL), the Association for Computing Machinery (ACM), the Institute of Electrical and Electronics Engineers (IEEE), and the Association for the Advancement of Artificial Intelligence (AAAI). Examples include conferences on Web Science (WebSci and WebConf – formerly WWW), Web and Social Media (ICWSM), Advances in Social Network Analysis and Mining (ASONAM), Empirical Methods in Natural Language Processing (EMNLP), Computer-Supported Cooperative Work (CSCW), Collective Intelligence (CI), and Body Sensor Networks (BSN).