A category-theoretic analysis of IT infrastructure, data management systems, and data integration processes such as ETL and data warehousing will produce a more insightful understanding of a data ecosystem by:

  • Identifying master and reference data,
  • Revealing business rules that are implicit in data,
  • Uncovering gaps and redundancies in IT processes, and more.

The team at Categorical Informatics is available for consulting services: please contact us for more information.


Jee Chung

With over 25 years of industry experience, Jee Chung was most currently the Director of Enterprise Systems at GMO, LLC, where he oversaw data initiatives such as data warehousing, business intelligence, realĀ­time data, etc. Previously, he held roles at State Street, Fidelity Investments, Goldman Sachs, and Ab Initio.

Peter Gates

Peter Gates received his Ph.D. in Physiology and Biophysics at Rush University and was a post-doc at the Mayo Foundation. Since then he has held a series of positions at 3-Dimensional Pharmaceuticals Inc. and Johnson and Johnson, spanning various data integration and application development activities.

David Spivak

David Spivak is a research scientist in the MIT department of mathematics, where he uses category theory to model information-bearing structures of all kinds, ranging from databases and programs to social networks and proteins.

Ryan Wisnesky

A former postdoc in the MIT math department, Ryan Wisnesky specializes in the application of category theory to query language design. He holds CS degrees from Stanford and Harvard and contributed to IBM research's Clio and HIL data integration tools.