Zhe He

ORCID iD
https://orcid.org/0000-0003-3608-0244
  • Country
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United States

Sources:
Zhe He (2018-07-30)

  • Keywords
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Health Informatics,

Sources:
Zhe He (2018-07-30)

Biomedical Informatics,

Sources:
Zhe He (2018-07-30)

Biomedical Ontologies,

Sources:
Zhe He (2018-07-30)

Clinical Research Informatics,

Sources:
Zhe He (2018-07-30)

Knowledge Discovery,

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Zhe He (2018-07-30)

Natural Language Processing

Sources:
Zhe He (2018-07-30)

  • Websites
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Homepage of Dr. Zhe He

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Zhe He (2018-07-30)

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Sources:
Zhe He (2015-12-17)

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Zhe He (2015-12-17)

  • Other IDs
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ResearcherID: J-2336-2014

Sources:
ResearcherID (2014-08-06)

ResearcherID: E-1549-2017

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ResearcherID (2017-03-13)

ResearcherID: M-2593-2018

Sources:
ResearcherID (2018-06-18)

Biography

Dr. Zhe He is an Assistant Professor in the School of Information at the Florida State University (Florida's iSchool) and a Core Affiliate of the Institute for Successful Longevity. Before joining FSU, Dr. He was a Postdoctoral Research Scientist (2014-2015) in the Department of Biomedical informatics at Columbia University, working with Dr. Chunhua Weng. In his postdoctoral research, he has developed methods for assessing the collective population representativeness of clinical studies with the goal of improving the transparency of study generalizability to the real-world population. He obtained his Ph.D. in Computer Science at New Jersey Institute of Technology (2009-2014). He worked with Dr. James Geller and Dr. Yehoshua Perl in the Structural Analysis of Biomedical Ontologies Center (SABOC). His doctoral thesis introduced a set of quality assurance methodologies for controlled terminologies and ontologies, e.g., Unified Medical Language System (UMLS), SNOMED CT, and domain ontologies in BioPortal. As the first author, he has published in leading biomedical informatics journals such as Journal of Biomedical Informatics, Artificial Intelligence in Medicine, and mainstream informatics conferences such as American Medical Informatics Association (AMIA) Annual Symposium, and World Congress on Health and Biomedical Informatics (MEDINFO). His papers were nominated as Student Paper Award of AMIA 2015 Summit on Clinical Research Informatics and MEDINFO 2015. His AMIA 2013 paper was selected as the representative paper on "biomedical ontologies" in the "Informatics Year In Review". He received two Distinguished Paper Awards from AMIA 2015 and AMIA 2017, respectively. During his PhD studies, he was inducted into Alpha Epsilon Lambda National Graduate and Professional Honor Society. He received his MS from Columbia University and his BS from Beijing University of Posts and Telecommunications, both in Computer Science. Dr. He has broad interests in biomedical and health informatics, clinical research informatics, knowledge discovery, knowledge representation, and ontology-enhanced data analytics. The overarching goal of his research is to improve the population health and advance biomedical research through the collection, analysis, and application of data. On the foundational track, he is developing semantic and structural methods to enhance controlled terminologies/ontologies and improve their utility in natural language processing, clinical decision support, data analytics, and electronic health records. He is also interested in ontological knowledge bases. On the application track, he has been developing novel data-driven methods and tools to assess the generalizability of clinical studies using the electronic data in clinical trial registries, public patient databases, and clinical data warehouses. His research aims to improve the representation of underserved population subgroups in clinical studies such as older adults with multiple chronic conditions. Another line of his research is to bridge the terminology gap between health information consumers and health professionals. His research has been funded by National Institutes of Health, Eli Lilly and Company, Amazon Inc, FSU Council on Research and Creativity, and Institute for Successful Longevity. Dr. He has published in the following topics: Quality assurance of biomedical ontologies (e.g, domain ontologies in BioPortal) Quality assurance of controlled vocabularies (e.g., SNOMED CT, UMLS) Data-driven conceptual content enrichment for ontologies/terminologies (e.g., SNOMED CT, NCIt) Clinical trial generalizability assessment and improvement Consumer Health Vocabulary

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