Moh Hosseinioun
Postdoctoral Researcher at Northwestern University - Kellogg School of Management
Greater Chicago Area United States
Summary
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Senior🎓
Top SchoolMoh Hosseinioun is a Postdoctoral Researcher at Northwestern Kellogg and a NICO affiliate who studies how human skills and AI reshape the organization of work using computational social science. Trained as an industrial engineer with a PhD in Management Information Systems, he blends network analysis, computational modeling, econometrics, and machine learning to analyze large-scale data on skill dynamics and firm strategy. Over nine years he has combined research with extensive teaching—from social network analysis to databases—and industry internships that grounded his work in operational problems like production scheduling and prediction modeling. His research links management and organization theory to practical policy and firm-level tactics, and he often translates theoretical insights into data-intensive, actionable recommendations. An often-overlooked strength is his hands-on experience building predictive systems early in his career, which informs his empirically driven approach to questions about AI complementarity and the future of work.
8 years of coding experience
3 years of employment as a software developer
Amirkabir University of TechnologyDoctor of Philosophy - PhD Business Administration and Management General, Doctor of Philosophy - PhD Business Administration and Management General at University of Illinois ChicagoMaster’s Degree Industrial Engineering, Master’s Degree Industrial Engineering at Northern Illinois Universitydiploma Mathematics & Physics, diploma Mathematics & Physics at Imam Reza High school
English, Persian, FrenchGithub contributions (5)
mohhoss/input-loops-and-file-I-O
Jun 2017 - Aug 2023
Contributions:4 pushes, 1 branch in 6 years 3 months
mohhoss/streams-command-line-arguments-and-lots-of-decisions
Jun 2017 - Aug 2023
Contributions:6 pushes, 1 branch in 6 years 3 months
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