PeopleofSuperintelligence

Researcher

Hayit Greenspan

Hayit Greenspan is a biomedical engineer whose research uses machine learning and deep learning to analyze medical images. She earned electrical engineering degrees at the Technion-Israel Institute of Technology, completed a PhD at Caltech, and joined Tel Aviv University after a UC Berkeley postdoctoral appointment. Her work includes the LiTS liver-tumor benchmark and a co-edited deep-learning book; the MICCAI Society elected her a Fellow in 2024. At a UC Irvine seminar in August 2026, she presented work on foundation models and generative modeling for early detection and decision support in medical imaging. As of October 2026, she is a professor at Tel Aviv University and a co-founder and chief scientist at RADLogics.

Now at
Tel Aviv University and RADLogics
Born
1963
Badges

Years link to their sources.

Timeline

  1. 1986–1994

    Technion degrees and a Caltech PhD

    She earns B.S. and M.S. degrees in electrical engineering from the Technion-Israel Institute of Technology in 1986 and 1989, then completes a PhD in electrical engineering at Caltech in 1994.

  2. 1995–1997

    Postdoctoral work at Berkeley

    She completes a postdoctoral appointment in UC Berkeley's Computer Science Division from 1995 to 1997 and joins Tel Aviv University in 1997.

  3. 2008–2011

    Visiting professor at Stanford

    From 2008 to 2011, she is a visiting professor in Stanford University's Department of Radiology.

  4. 2019

    The LiTS benchmark

    In 2019, she coauthors the report on the Liver Tumor Segmentation Benchmark (LiTS), which assesses 75 submitted liver and tumor segmentation algorithms trained on 131 CT volumes and tested on 70 unseen images.

  5. 2023

    Editing a deep-learning book

    She co-edits the second edition of Deep Learning for Medical Image Analysis, published in 2023. The book covers neural-network and deep-learning methods for medical-image detection, segmentation, registration and computer-aided analysis.

  6. 2024

    A MICCAI Fellowship

    The MICCAI Society elects her a Fellow in 2024.

  7. 2025

    Leading a medical imaging lab

    In 2025, she heads Tel Aviv University's Medical Image Processing and Analysis Lab in its Biomedical Engineering Department.

  8. As of October 2026

    Professor and RADLogics co-founder

    As of October 2026, she is a professor in Tel Aviv University's School of Biomedical Engineering and a co-founder and chief scientist at RADLogics. In August 2026, she presents a UC Irvine seminar on foundation models and generative modeling for early detection and decision support in medical imaging.

Career

  1. Since 2025Tel Aviv UniversityHead
  2. NowRADLogicsCo-founder and chief scientist
  3. 2008–2011Stanford UniversityVisiting professor
  4. 1995–1997University of California, BerkeleyPostdoctoral researcher

Education

  1. 1994California Institute of TechnologyPhD in electrical engineering
  2. 1989TechnionM.S. in electrical engineering
  3. 1986TechnionB.S. in electrical engineering

From the biography.

  1. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other universityIncludes Tel Aviv University. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other university. We compare doctorate and 5+ year employment links, career timing and current workplaces for 187 major-prize and 1,111 best-paper winners.
  2. 20% of people at companies who shape AI also hold a university role, led by Google and Stanford UniversityIncludes Stanford University. We estimate that 539 of the 6,766 people with a known current organization (8%) hold both a university role and a company role, including 20% of people at companies and 13% of people at universities.
  3. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes Tel Aviv University. We estimate where the people shaping AI studied and where their careers led. Massachusetts Institute of Technology leads with 467 former students, including 291 recorded doctorates.
  4. The company share of AI researchers’ top papers was 31% in 2020–2024 and 8% in 1970–1974Includes Tel Aviv University. We estimate where the people shaping AI worked when their most-cited papers appeared: the company share was 31% in 2020–2024 and 8% in 1970–1974, and Google led all organizations in 2020–2024.

Colleagues

People with dated positions at the same organization in the same years.

Sources and credits

Photo: We have no published photo of Hayit Greenspan yet. Send us a free-licensed photo.

  1. Hayit Greenspan, Ph.D. | INT 2025 int2025.eng.uci.edu. Checked 21 October 2026.
  2. The Liver Tumor Segmentation Benchmark (LiTS) arxiv.org. Checked 21 October 2026.
  3. Deep Learning for Medical Image Analysis, Edition 2 educate.elsevier.com. Checked 21 October 2026.
  4. MICCAI Quarterly - Winter (December) 2024 miccai.org. Checked 21 October 2026.
  5. Radiological Sciences Research Seminar Series | Hayit Greenspan, PhD medschool.uci.edu. Checked 21 October 2026.