Xinxin (Katie) Zhu, MD, PhD, FAMIA, FIAHSI
Executive Director, Center for Biomedical Data ScienceAbout
Titles
Executive Director, Center for Biomedical Data Science
Biography
Dr. Zhu is a clinician and healthcare informatics professional with extensive experience in health management, biomedical informatics, and data science, gained from both academia and industry. She brings a multidisciplinary perspective to her current role as the Inaugural Executive Director of the Center for Biomedical Data Science at Yale. Dr. Zhu has led program organization and operations for the NIH Bridge2AI Consortium and directs interdepartmental programs across campus, including the Yale-Boehringer Ingelheim Biomedical Data Science Fellowship Program and the Annual Yale Single Cell Research Symposia. In addition to her medical training and practice in anesthesiology, Dr. Zhu received her M.S. in Computer Science from Rensselaer Polytechnic Institute and her Ph.D. in Biomedical Informatics from Columbia University under the U.S. National Library of Medicine fellowship. Before joining Yale faculty, Dr. Zhu served as an External Advisory Board member for the Center for Advanced Technology at Columbia University, physician scientist lead at the Center for Computational Health at IBM Watson Research Headquarters, Chief Medical Information Officer at Kforce Government Solutions, associate medical director at Pfizer, clinical project manager at Philips, and healthcare subject matter expert at the U.S. Department of Veterans Affairs. She is the recipient of numerous awards, including the Philips Star Employee Award, IBM A-Level Scientific Accomplishment Award, IBM Management Choice Award, IBM Invention Achievement Awards, and the AMIA and e-Health Distinguished Paper Awards. She is the author of many scientific publications and 13 granted patents. Her patent was reported by both New Scientist and the Belgian daily, De Morgen. She co-edited the Springer book "Personal Health Informatics" and Elsevier book "Digital Health." Dr. Zhu is the Chair for the International Medical Informatics Association’s Organizational and Social Issues in Healthcare Working Group. She has served as the Co-Chair for the American Medical Informatics Association’s Global Health Informatics Working Group, VP of Membership for the Consumer and Pervasive Health Informatics Working Group, as well as Scientific Program and Women Leadership Committee members. Dr. Zhu was elected to the fellowship of the American Medical Informatics Association, and the International Academy of Health Sciences Informatics.
Appointments
Biomedical Informatics & Data Science
Senior Research ScientistPrimaryLaboratory Medicine
Senior Research ScientistSecondary
Other Departments & Organizations
- Biomedical Informatics & Data Science
- Laboratory Medicine
- Yale Conference of Artificial Intelligence for Precision Medicine
Education & Training
- PhD
- Columbia University, Biomedical Informatics
- MS
- Rensselaer Polytechnic Institute, Computer Science
- MD
- China Medical University, Clinical Medicine, Anesthesiology
Research
Research at a Glance
Yale Co-Authors
Publications Timeline
Allison E. Gaffey, PhD
Garrett Ash, PhD
Laura Marie Nally, MD
Lisa Fucito, PhD
Stuart Alan Weinzimer, MD
Vipina K. Keloth, PhD
Publications
2023
One Health: Insights from Organizational & Social, Technology Assessment and Human Factors Perspectives.
Scott P, Kuziemsky C, Zhu X, Nøhr C, Ammenwerth E, Kukhareva P, Peute L, Marcilly R. One Health: Insights from Organizational & Social, Technology Assessment and Human Factors Perspectives. Yearb Med Inform 2023, 32: 76-83. PMID: 38147851, DOI: 10.1055/s-0043-1768729.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus Statements
2022
Personal Health Informatics: Patient Participation in Precision Health
Hsueh, P.Y., Wetter, T., Zhu, X., Textbook of Personal Health Informatics: Patient Participation in Precision Health (Cognitive Informatics in Biomedicine and Healthcare), 1st edition. Springer Nature, 2022. ISBN: 978-3-031-07696-1Books
2021
The Importance of Contextual Understanding in Solving the Last Mile Problem.
Kuziemsky C, Nøhr C, Marcilly R, Dusseljee-Peute L, Zhu X, Elkin PL. The Importance of Contextual Understanding in Solving the Last Mile Problem. Studies In Health Technology And Informatics 2021, 286: 3-8. PMID: 34755681, DOI: 10.3233/shti210625.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsHealth information technologyLast mile problemDigital health landscapeMile problemHealth information managementInformation managementInformation technologyData dashboardInformatics solutionsHealth informaticsDesign focusHealthcare managementSociotechnical analysisTechnologyImplementationEvaluation methodDashboardHealthcareNecessary supportInformaticsHealth technologiesWorkloadRole contextCOVID-19 contextContextual understandingEstablishing a Global Standard for Wearable Devices in Sport and Exercise Medicine: Perspectives from Academic and Industry Stakeholders
Ash GI, Stults-Kolehmainen M, Busa MA, Gaffey AE, Angeloudis K, Muniz-Pardos B, Gregory R, Huggins RA, Redeker NS, Weinzimer SA, Grieco LA, Lyden K, Megally E, Vogiatzis I, Scher L, Zhu X, Baker JS, Brandt C, Businelle MS, Fucito LM, Griggs S, Jarrin R, Mortazavi BJ, Prioleau T, Roberts W, Spanakis EK, Nally LM, Debruyne A, Bachl N, Pigozzi F, Halabchi F, Ramagole DA, Janse van Rensburg DC, Wolfarth B, Fossati C, Rozenstoka S, Tanisawa K, Börjesson M, Casajus JA, Gonzalez-Aguero A, Zelenkova I, Swart J, Gursoy G, Meyerson W, Liu J, Greenbaum D, Pitsiladis YP, Gerstein MB. Establishing a Global Standard for Wearable Devices in Sport and Exercise Medicine: Perspectives from Academic and Industry Stakeholders. Sports Medicine 2021, 51: 2237-2250. PMID: 34468950, PMCID: PMC8666971, DOI: 10.1007/s40279-021-01543-5.Peer-Reviewed Original ResearchCitationsAltmetric
2020
Evidence-Based Health Informatics as the Foundation for the COVID-19 Response: A Joint Call for Action.
Fernandez-Luque L, Kushniruk AW, Georgiou A, Basu A, Petersen C, Ronquillo C, Paton C, Nøhr C, Kuziemsky CE, Alhuwail D, Skiba D, Huesing E, Gabarron E, Borycki EM, Magrabi F, Denecke K, Peute LWP, Topaz M, Al-Shorbaji N, Lacroix P, Marcilly R, Cornet R, Gogia SB, Kobayashi S, Iyengar S, Deserno TM, Mettler T, Vimarlund V, Zhu X. Evidence-Based Health Informatics as the Foundation for the COVID-19 Response: A Joint Call for Action. Methods Of Information In Medicine 2020, 59: 183-192. PMID: 33975375, PMCID: PMC8279811, DOI: 10.1055/s-0041-1726414.Peer-Reviewed Original ResearchA review of auditing techniques for the Unified Medical Language System
Zheng L, He Z, Wei D, Keloth V, Fan JW, Lindemann L, Zhu X, Cimino JJ, Perl Y. A review of auditing techniques for the Unified Medical Language System. Journal Of The American Medical Informatics Association 2020, 27: 1625-1638. PMID: 32766692, PMCID: PMC7566540, DOI: 10.1093/jamia/ocaa108.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsUnified Medical Language SystemAuditing techniquesLevel of automationLanguage systemOntology alignmentUMLS MetathesaurusError detectionConcept namesAlignment techniqueSemantic type assignmentsOntology enrichmentTypes of knowledgeHierarchical relationshipsEasy accessSummarizationPRISMA approachDevelopment of methodsMetathesaurusQuality assuranceAutomationTechniqueConceptual aspectsSystemWealth of knowledgeConceptDigital Health: Building Mobile and Wearable Applications for Participatory Health.
Editors: Shabbir Syed-Abdul, Xinxin Zhu, Luis Fernandez-Luque. 2020. Elsevier. eBook ISBN: 9780128200780. Paperback ISBN: 9780128200773. https://www.amazon.com/Digital-Health-Wearable-Participatory-Applications/dp/0128200774BooksEstablish a Real-time Responsible Home Quarantine and Monitoring Management mHealth Platform.
Lee SH, Chiu YR, Hung YT, Chen QG, Zhang A, Yang Y, Zhi P, Li Y, Zhu X, Chang PL. Establish a Real-time Responsible Home Quarantine and Monitoring Management mHealth Platform. AMIA ... Annual Symposium Proceedings / AMIA Symposium. AMIA Symposium 2020, 2020: 697-706. PMID: 33936444, PMCID: PMC8075449.Peer-Reviewed Original Research
2018
Mobile and wearable technologies in healthcare for the ageing population.
Malwade S, Abdul SS, Uddin M, Nursetyo AA, Fernandez-Luque L, Zhu XK, Cilliers L, Wong CP, Bamidis P, Li YJ. Mobile and wearable technologies in healthcare for the ageing population. Computer Methods And Programs In Biomedicine 2018, 161: 233-237. PMID: 29852964, DOI: 10.1016/j.cmpb.2018.04.026.Peer-Reviewed Original Research
2017
How Can Health Information Technologies Contribute to Improve Health Care Services for High-Need Patients?
Nøhr C, Botin L, Zhu X. How Can Health Information Technologies Contribute to Improve Health Care Services for High-Need Patients? 2017, 241: 28-35. PMID: 28809178.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and Concepts
News
News
- October 21, 2024
Yale BIDS Presenting at the AMIA 2024 Annual Symposium
- July 12, 2024
AI in Medicine Workshop Explores Cutting-Edge AI Applications in Drug Discovery
- November 28, 2022
Biomedical Data Science Program Accepts Four New Fellows
- October 25, 2022
Biomedical Data Science Program Accepts Four New Fellows