I’m a Ph.D. Candidate in Technology and Social Behaviour, a joint program in computer science and communication at Northwestern University. My research devises innovative ways to support fair, robust, and reliable collective decision-making in complex online settings. I use theory-driven investigations that rely on mining Big Data about human interactions and behavior, online experiments and surveys, novel statistical modeling frameworks, crowdsourcing, and text analysis to tackle open questions about how people’s embeddedness in social networks and their opinion diversity improves or undermines their judgments as a collective. Supported by these novel approaches, my research advances theories of collective intelligence and complex systems and makes methodological contributions toward studying and designing network-aware machine-learning tools. The core contributions of my work are relevant to Computational Social Science, Network Science, Social Computing, and increasingly for Machine Intelligence and Human-Machine Communication. My contributions in these areas are demonstrated by 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 submissions at the Association for Computing Machinery (ACM) and the Institute of Electrical and Electronics Engineers (IEEE) publication venues that focus on relevant areas of study. Examples include conferences on Web Science (WebSci and WebConf – formerly WWW), Social Network Analysis and Mining (ASONAM), Computer-Supported Cooperative Work (CSCW), and Collective Intelligence. My research is generously funded by a Presidential Fellowship, the most prestigious fellowship awarded to graduate students by Northwestern University for outstanding research and leadership.

I am on the 2023-24 job market and available for interviews ツ