Portrait of Lixin (Lee) Song

THIS PROFILE WAS GENERATED FROM PUBLICLY AVAILABLE SOURCES AND REVIEWED BY THE RESEARCHER.

Researcher

Lixin (Lee) Song

PhD, RN, FAAN

Vice Dean for Research and Scholarship

Professor | University of Texas Health Science Center at San Antonio

songl2@uthscsa.edu 210-450-8917

OVERVIEW

A concise summary of research focus, trajectory, and current direction.

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Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum.

PRIMARY SOURCES: STANFORD FACULTY PAGE, PUBLIC LECTURES, INSTITUTIONAL BIOS

RESEARCH FOCUS

Ranked by current emphasis.

Primary Areas

  • Supportive Care & Symptom Management

  • Health Disparities in Cancer Care

  • Family Caregiving & Support

Secondary Areas

  • Supportive Care & Symptom Management

  • Supportive Care & Symptom Management

  • Supportive Care & Symptom Management

IMPACT & CURRENT DIRECTION

Summarizes applied impact and ongoing priorities.

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COLLABORATION INTERESTS

Areas where collaboration may be of interests.

  • Translational AI in healthcare imaging
  • Responsible AI system evaluation frameworks
  • Cross-sector AI governance research
  • Applied machine learning for social impact

METHODS & CONTEXT

Based on published and institutional information.

METHODS

  • Deep learning architectures
  • Large-scale dataset construction
  • Cross-sector AI governance research
  • Representation learning

APPLICATION CONTEXT

  • Visual recognition systems
  • Healthcare imaging research
  • Public-sector AI governance initiatives

SELECTED WORK

Representative publications. Not a complete list.

  • ImageNet: A Large-Scale Hierarchical Image Database

    2009

  • Deep Visual-Semantic Alignments for Generating Image Descriptions

    2015

  • Human-Centered Artificial Intelligence: Reliable, Safe & Trustworthy

    2020

ACADEMIC & INSTITUTIONAL ROLES

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  • Sequoia Professor of Computer Science

    Stanford University

    2006 - Present

  • Director

    Stanford Human-Centered AI Institute

    2019 - Present

  • Chief Scientist of AI/ML

    Google Cloud

    2017 - 2018

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