PeopleofSuperintelligence

Researcher

Serena Yeung-Levy

Also known as Serena Yeung

Serena Yeung-Levy is a Stanford AI researcher who applies computer vision and machine learning to healthcare and biomedicine. She worked at Rockmelt as a software engineer from 2009 to 2011, earned electrical engineering degrees at Stanford in 2010 and 2013, and completed a Stanford PhD in 2018 before a Harvard postdoctoral fellowship in 2019. Her research includes a 2019 computer-vision study on patient mobility in the ICU and GLoRIA, a 2021 framework for label-efficient medical image recognition. In 2025, her lab received an NVIDIA grant for BioMed-MLLM, and she coauthored Apollo, a study of video perception in large multimodal models. She is an assistant professor of biomedical data science at Stanford and leads MARVL; in August 2026, she received an NLM grant to develop AI for microscopy interpretation.

Works
212
Citations
8,801
h-index
40
Badges

Publication numbers from OpenAlex, as of 27 October 2026.

Timeline

  1. 2009–2013

    Stanford engineering and Rockmelt

    She works at Rockmelt as a software engineer from 2009 to 2011, earns a Stanford bachelor's degree in electrical engineering in 2010, and earns a Stanford master's degree in electrical engineering in 2013.

  2. 2018–2019

    A PhD and Harvard fellowship

    In 2018, she completes a PhD at Stanford, where Fei-Fei Li advises her. In 2019, she is a postdoctoral fellow at Harvard and holds its Technology for Equitable and Accessible Medicine Fellowship for 2018–2019.

  3. 2019

    Computer vision in the ICU

    She coauthors a 2019 study that uses computer vision to detect patient mobilization in an adult ICU. The system processes privacy-safe depth video and detects movement into and out of beds and chairs.

  4. 2021

    GLoRIA for medical imaging

    At ICCV 2021, she coauthors GLoRIA, a multimodal framework that learns label-efficient medical image representations by using radiology reports.

  5. 2025

    BioMed-MLLM for biomedicine

    Her lab receives an NVIDIA Academic Grant in 2025 for BioMed-MLLM, a family of open multimodal large language models for biomedicine.

  6. 2025

    Apollo studies video models

    She coauthors Apollo for CVPR 2025. The paper studies what drives video perception in large multimodal models.

  7. August 2026

    An NLM microscopy grant

    In August 2026, she receives a four-year, $1.39 million National Library of Medicine grant for an AI tool that helps researchers interpret microscopy images. The planned system connects fine-grained visual details with scientific knowledge.

  8. Since 2019

    Assistant professor at Stanford

    Stanford appoints her assistant professor of biomedical data science in 2019. As of October 2026, she holds courtesy appointments in computer science and electrical engineering and leads Stanford's Medical AI and Computer Vision Lab (MARVL).

Career

  1. NowStanford UniversityCourtesy appointment
  2. 2018–2019Harvard UniversityPostdoctoral Fellow
  3. 2009–2011RockmeltSoftware Engineer

Education

  1. 2018Stanford UniversityPhD
  2. 2013Stanford UniversityMaster's degree in electrical engineering
  3. 2010Stanford UniversityBachelor's degree in electrical engineering

From the biography and OpenAlex affiliations (the years of papers that list the organization), so some years are approximate.

Colleagues

People named in this biography, and people with dated positions at the same organization in the same years.

Sources and credits

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  1. Serena Yeung | MLconf - The Machine Learning Conference mlconf.com. Checked 26 October 2026.
  2. Serena Yeung-Levy's Profile | Stanford Profiles profiles.stanford.edu. Checked 26 October 2026.
  3. A computer vision system for deep learning-based detection of patient mobilization activities in the ICU nature.com. Checked 26 October 2026.
  4. GLoRIA: A Multimodal Global-Local Representation Learning Framework for Label-Efficient Medical Image Recognition openaccess.thecvf.com. Checked 26 October 2026.
  5. Yeung-Levy Lab Receives NVIDIA Academic Grant to train the next generation of open multimodal biomedical large language models dbds.stanford.edu. Checked 26 October 2026.
  6. Apollo: An Exploration of Video Understanding in Large Multimodal Models openaccess.thecvf.com. Checked 26 October 2026.
  7. Serena Yeung-Levy receives $1.39 million NLM grant to develop AI tool for interpreting microscopy images dbds.stanford.edu. Checked 26 October 2026.
  8. 2019 Recognitions | News Center med.stanford.edu. Checked 26 October 2026.