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INFORMATION FOR

Lucila Ohno-Machado

MD, MBA, PhD
Waldemar von Zedtwitz Professor of Medicine and Biomedical Informatics and Data Science; Deputy Dean for Biomedical Informatics; Chair, Section of Biomedical Informatics and Data Science

Biography

Lucila Ohno-Machado, MD, PhD, MBA, is the Deputy Dean for Biomedical Informatics and the Chair of Biomedical Informatics and Data Science. As Deputy Dean for Biomedical Informatics, Ohno-Machado oversees the infrastructure related to biomedical informatics research across the academic health system.

Biomedical Informatics and Data Science serves as the hub for biomedical collaboration at Yale. It brings informatics to the clinic and the bedside; innovates new approaches to the analysis of big data across the biomedical research spectrum from basic genetic, proteomic, cellular, and systems biology to the understanding of the social determinants of health; and works in concert with colleagues in data science.

Ohno-Machado was health sciences associate dean for informatics and technology, founding chief of the Division of Biomedical Informatics in the Department of Medicine, and distinguished professor of medicine at the University of California San Diego (UCSD). She also was founding chair of the UCSD Health Department of Biomedical Informatics and founding faculty of the UCSD Halicioğlu Data Science Institute in La Jolla, California. She received her medical degree from the University of São Paulo, Brazil; her MBA from the Escola de Administração de São Paulo, Fundação Getúlio Vargas, Brazil; and her PhD in medical information sciences and computer science at Stanford University. She has led informatics centers that were funded by various NIH initiatives and by agencies such as AHRQ, PCORI, and NSF.

She organized the first large-scale initiative to share clinical data across five UC medical systems and later extended it to various institutions in California and around the country. Prior to joining UCSD, she was distinguished chair in biomedical informatics at Brigham and Women’s Hospital, and faculty at Harvard Medical School and at MIT’s Health Sciences and Technology Division. She is an elected member of the National Academy of Medicine, the American Society for Clinical Investigation, the American Institute for Medical and Biological Engineering, the American College of Medical Informatics, and the International Academy of Health Sciences Informatics. She is a recipient of the American Medical Informatics Association leadership award, as well as the William W. Stead Award for Thought Leadership in Informatics.

Long fascinated by the combination of life science and computer science, Ohno-Machado has conducted research in predictive models and data sharing since the start of her career. Her doctoral thesis work involved neural network models for survival analysis, and she subsequently focused on new methods to evaluate predictive performance of models based on clinical and molecular data. Since AI models require large amounts of data, and institutions prefer to keep the data locally, she worked on innovative algorithms to distribute the computation so that data could stay local, but multivariate models could be built and evaluated in a federated manner.

Education & Training

  • Research Fellow in Medicine
    Stanford University Medical Center (1996)
  • Resident
    University of São Paulo (1989)
  • Intern
    University of São Paulo (1987)
  • Non Degree Program
    Brigham and Women’s Hospital/Harvard Business School Leadership Program
  • PhD
    Stanford University, Medical Information Sciences and Computer Science
  • MBA
    Escola de Administração de São Paulo
  • MD
    University of São Paulo

Activities

  • Clinical Practice Guidelines
    Elspeet, GE, Netherlands 2022
    Workshop in Artificial Intelligence in Medicine of the European Science Foundation
  • Classification of Gene Expression Data Using Fuzzy Logic
    Elspeet, GE, Netherlands 2022
    Workshop in Artificial Intelligence in Medicine of the European Science Foundation
  • AI in Medicine: Issues in Data Privacy
    Seoul, Seoul, South Korea 2019
    19th Avison Biomedical Symposium
  • O consórcio da Califórnia para o programa de pesquisa Todos Nós (All of Us)
    São Paulo, SP, Brazil 2018
    Challenges for the Integration of Medicine and Information Technology
  • O papel da informática na medicina de precisão
    Rio de Janeiro, RJ, Brazil 2015
    O papel da informática na medicina de precisão
  • Facilitando a troca de dados e programas para analise em bioinformatica: o projeto iDASH
    Natal, RN, Brazil 2012
    Facilitando a troca de dados e programas para analise em bioinformatica: o projeto iDASH
  • Sistemas de Alerta e Resposta Médica Usando Sensores e Georeferenciamento
    webinar 2012
    Sistemas de Alerta e Resposta Médica Usando Sensores e Georeferenciamento
  • Medical Machine Learning: A Tutorial
    Rio de Janeiro, RJ, Brazil 1999
    Medical Machine Learning: A Tutorial
  • Computer-Based Diagnostic Systems
    São Paulo, SP, Brazil 1998
    Computer-Based Diagnostic Systems

Honors & Recognition

AwardAwarding OrganizationDate
William W. Stead Award for Thought Leadership in InformaticsAmerican Medical Informatics Association2019
IT/NIST Blockchain Challenge AwardOffice of the National Coordinator for Healthcare 2016
Larry L. Sautter Golden AwardUniversity of California Information Technology Leadership Council2015
Distinguished Paper AwardAMIA Summits on Translational Science2013
Women Who Mean Business AwardSan Diego Business Journal2011
University-wide Equal Opportunity & Diversity AwardUniversity of California-San Diego2010
Clifford A. Barger Excellence in Mentoring AwardHarvard Medical School2004
HonorsStanford University1993

Departments & Organizations