Carlos Ordonez


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Bio: Carlos Ordonez joined UH in 2006. Carlos Ordonez studied at UNAM University in Mexico, getting a B.Sc. in actuarial science (applied math, similar to data science degrees) and an M.S. in computer science. He continued PhD studies at the Georgia Institute of Technology advised by Edward Omiecinski, focusing on accelerating machine learning algorithms, getting the PhD in 2000. Carlos worked at NCR from 1998 to 2006, collaborating in the optimization of machine learning and cube query processing algorithms on the Teradata parallel DBMS. In 2006 Carlos joined the Department of Computer Science at the University of Houston, where he currently leads the Big Data Systems (BDS) lab. From 2013 to 2015 Carlos regularly visited MIT and collaborated with Michael Stonebraker, working on new-generation parallel DBMSs (columnar, arrays). From July 2014 to July 2015 Carlos worked as a visiting researcher with ATT Labs-Research (formerly ATT Bell Labs), where he conducted research on stream analytics, extending the R language and data quality with Divesh Srivastava. His research projects have been funded by 3 NSF grants.


  • B.Sc. in Applied Mathematics (Actuarial Sciences), UNAM University, Mexico, 1992.
  • M.S. in Computer Science, UNAM University, Mexico, 1996.
  • Ph.D. in Computer Science, Georgia Institute of Technology, USA, 2000.


Scientific articles listed on: DBLP. My citations are tracked in: Google Scholar.