I am a fourth year PhD student in Information Systems at the Heinz College of Carnegie Mellon University. I am advised by Dokyun Lee and George Chen. My research is supported by a McKinsey & Company Ph.D. Fellowship.

Methodologically, I develop scalable machine-learning methods that operate on data with complex structure, such as networks and text. Substantively, I use such methods to examine causal questions pertaining to persuasion and its linguistic determinants.

Working Papers


Work in Progress

    • Identifying Linguistic Biases in Peer-Review
    • Emaad Manzoor, Nihar B. Shah


    • 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. The WWW and KDD conference series comprise the highest tier of computer science conferences in the data mining subdomain (ranked A* by the CORE conference ranking system).

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).