Academic Website

I am a computational Social Scientist interested in the structure of human knowledge and the organization of work. I study how the increasing volume and complexity of knowledge influence the division and organization of work.

I am particularly interested in technologies as means of hedging complexity. Take computers, for example. A small fraction of people specialize in building, programming, and distributing computers to the rest of the population. In this way, users do not have to learn all there is to know about building a computer. Instead, they can focus on other expertise. My research is about understanding and improving those divisions. I combine ideas from complex systems, managerial and economic theories to examine what influences and is influenced by the growth of knowledge. These questions interest organization theorists, students of innovation, and the broad stream on the future of work.

I am a Ph.D. candidate in Management Information Systems at the University of Illinois and a Research Fellow at the Northwestern Institute on Complex Systems (NICO) and Kellogg School of Management. I was trained as an engineer. My field experience influences my empirically grounded approach to using large volumes of data for scientific insights and policies. I apply computational tools and network analysis, econometrics, and machine learning in my work.

Presentation (ICSSI)

Monday, Jun 26 2023 at 3:45-4:45 I will present my work on skill structure at the International Conference on the Science of Science and Innovation (ICSSI) at the Kellogg Global Hub Room L070 (Concurrent Session 1D: Collaboration and Teams I.) Link to a working version in the title.

Working Paper News

Mar 28, 2023 - ​Find our working paper: Moh Hosseinioun, Frank Neffke, LT Zhang, Hyejin Youn: Deconstructing Human Capital to Construct Hierarchical Nestedness.

Presentation (HKS Growth Lab)

Mar 20, 2023 - Joint presentation of my collaboration with Hyejin Youn, Frank Neffke, and LT Zhang on skill structure at Harvard Growth Lab. Join us in person or online.

Deconstructing Human Capital to Construct Hierarchical Nestedness

Deconstructing Human Capital to Construct Hierarchical Nestedness

This is a paper on the structure of workplace skills and nature of human capital.

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NICO Lightning Talk - Unpacking Human Capital Using Occupational Data

NICO Lightning Talk - Unpacking Human Capital Using Occupational Data

This is a generic article you can use for adding article content / subjects on your website.

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In my free time, I enjoy playing soccer and volleyball, skiing, music, cooking, and bugging my cat, Mocha. I'm an avid reader and love to learn new languages— I speak Persian and English and a bit of French (now probably broken French), and I am trying to learn Mandarin. I love three things in particular: coffee, ice cream, and coffee ice cream!

Academic Journey:
I received my bachelor's and master's degrees in Industrial Engineering and Systems. I have worked as a Systems and Process Engineer in several small companies and spent almost a year as an Engineer-in-residence at Caterpillar Inc. My industry experiences, in many ways, motivate my research on productivity and the changes in the structure of work, induced by technical change and innovation.

Before starting my Ph.D. journey in Information Systems, most of my research focused on Machine Learning using Fuzzy Logic (If you haven't heard of it, it's an alternative way of reasoning or logic to the more common statistical framework that dominates Machine Learning today). I worked at the Artificial Intelligence Laboratory at Amirkabir University during my bachelor's, working on several projects. Later, I did my master's thesis on improving Machine Learning on incomplete data by applying Fuzzy Logic (Type II).