I am a quantitative researcher studying the dissemination and exchange of persuasive information at the Heinz College of Carnegie Mellon University. I design randomized experiments, quasi-experimental studies, and develop natural language processing and graph mining methods to empirically characterize the role of mental shortcuts in scenarios involving persuasive communication, such as online deliberation and scholarly peer review. I am advised by Dokyun Lee and George Chen, and my research is supported by a McKinsey & Company Ph.D. Fellowship.

I am on the academic job market! Take a look at my CV, my job market paper and a 10-minute video summary.

Working Papers



    • Scheduling Broadcasts in a Network of Timelines
    • Emaad Manzoor, Haewoon Kwak, Panos Kalnis
    • Master’s Thesis (KAUST), 2015
    • Resources: Website, Paper, Slides, Video

Note on Publication Venues

Computer science research is disseminated primarily via conference proceedings. WWW and KDD are flagship conferences of the data mining subdomain (ranked A* by CORE). EMNLP is one of the top conferences in the natural language processing and computational linguistics subdomain (based on the Google Scholar h5-index).

Academic business research is disseminated primarily via journal publications. Management Science, Marketing Science, Information Systems Research and Management Information Systems Quarterly comprise the highest tier of journals in the information systems and quantitative marketing subdomain (ranked by the Financial Times).