Harvard Catalyst Profiles

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Margarita Sordo, Ph.D.


Instituto Tecnologico Autonomo de Mexico (ITAM), MexicoBSc (Hons)06/1994Computer Engineering
University of Edinburgh, UKMSc06/1995Artificial Intelligence - Knowledge-based Systems
University of Sussex, UKPhD10/1999Computer Science and Artificial Intelligence
Imperial Cancer Research, UK12/2001Medical Informatics
AMIA Fellow (Elected)
2012 - 2012
Who's Who VIP in Medical Informatics
2011 - 2012
Who's Who Worldwide
2006 - 2007
Who’s Who in Medicine and Healthcare, 6th Edition
Who's Who in America 61st Ed
Special Honors

Dr. Sordo is a Medical Informatics Researcher and Instructor of General Medicine at the Brigham and Womens Hospital, Harvard Medical School. Her research includes artificial intelligence, knowledge representation, clinical decision support, data science, electronic health records, with emphasis on the application of knowledge elicitation and artificial intelligence techniques in medicine and healthcare to further advance the development and applicability of standards in medical decision support.

She developed GELLO, an international standard for clinical decision support. She has also developed computational techniques for tracking medication-related complications in patients at Partners Healthcare. She was part of OMOP, a multidisciplinary, nation-wide team of researchers conducting epidemiological studies to explore and confirm safety signals, assess risk and detect serious adverse effects not identified at clinical trials conducted before approval by the FDA. Dr. Sordo was principal analyst and implementer of the eRecommendations for Clinical Decision Support sponsored by the AHRQ.

She is a principal investigator on modeling patient characteristics and preferences to evaluate the impact of public health policies in individual health using complex adaptive systems.

Dr. Sordo holds a BSc (Hons) in Computer Science from ITAM, Mexico; MSc. in Artificial Intelligence from The University of Edinburgh, UK; and Ph.D. in Computer Science and Artificial Intelligence from The University of Sussex, UK.

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Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.