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Bio:
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.
Carlos worked at NCR Corporation
collaborating in the optimization of machine learning and
query processing algorithms on the Teradata parallel DBMS.
Thereafter Carlos joined the Department of Computer Science
at the University of Houston,
where he currently leads the Big Data Systems (BDS) lab.
Carlos regularly visited MIT to
collaborate with Michael Stonebraker,
working on new-generation parallel DBMSs
(columnar, array, lockfree transactions).
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 NSF and NIH grants.
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