PeopleofSuperintelligence

Researcher

Amir Globerson

Amir Globerson is an AI researcher whose work connects structured prediction, deep learning and conversational systems. As of October 2026, he is a Research Scientist at Google in Tel Aviv and Unit Director of ELLIS Unit Tel Aviv at Tel Aviv University. He earned degrees in computer science, physics and computational neuroscience at the Hebrew University, held postdoctoral posts at Toronto and MIT, and joined the Hebrew University's computer-science school in 2008. His work ranged from a 2007 Matrix-Tree paper to HOLI's deep-learning models and a 2026 benchmark for conversational recommenders; he shared ICML's 2013 best paper award and chaired UAI's program in 2018.

Works
246
Citations
8,001
h-index
46
Badges

Publication numbers from OpenAlex, as of 18 October 2026.

Timeline

  1. 1997–2006

    Computer science and neuroscience

    He earns a BSc in computer science and physics at the Hebrew University in 1997 and completes a PhD in computational neuroscience there in 2006.

  2. 2006–2008

    Postdoctoral work and structured prediction

    He completes his PhD in 2006 and takes postdoctoral appointments at the University of Toronto and MIT. In 2007, he co-authors Structured Prediction Models via the Matrix-Tree Theorem with Terry Koo, Xavier Carreras and Michael Collins, then joins Hebrew University's computer-science school in 2008.

  3. 2013

    An ICML best paper

    At ICML in 2013, he co-authors Vanishing Component Analysis, one of two papers sharing the conference's best paper award.

  4. 2015–2017

    Moving to Google Research

    In 2015, he is a visiting scientist at Google Mountain View and moves to the Tel Aviv University School of Computer Science. Since 2017, he works as a Research Scientist at Google in Tel Aviv.

  5. 2018

    Chairing UAI's program

    At UAI in 2018, he serves as program chair alongside Ricardo Silva.

  6. June 2025

    Holistic inference with HOLI

    In June 2025, he explains how HOLI builds deep-learning models that represent scene components and let those representations interact to interpret text and image inputs.

  7. 2026

    Testing conversational recommenders

    In 2026, he co-authors ConvApparel, an EACL paper that introduces a human-AI conversation dataset and a validation framework for user simulators in conversational recommenders.

  8. As of October 2026

    Directing ELLIS Tel Aviv

    He is a Research Scientist at Google in Tel Aviv and the Unit Director of ELLIS Unit Tel Aviv at Tel Aviv University.

Career

  1. Since 2015GoogleVisiting Scientist, Research Scientist
  2. Since 2015Tel Aviv UniversityUnit Director
  3. 2008–2015Hebrew University of Jerusalem
  4. 2006–2008University of TorontoPostdoctoral researcher
  5. 2006–2008Massachusetts Institute of TechnologyPostdoctoral researcher

Education

  1. 2006Hebrew University of JerusalemPhD
  2. 1997Hebrew University of JerusalemBSc

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

Most-cited works

  1. Gemini: A Family of Highly Capable Multimodal Models2023 · 988 citationsWith Angeliki Lazaridou, Anja Hauth, Clemens Meyer, David Silver, Emily Pitler and Fabio Viola
  2. Metric Learning by Collapsing Classes2005 · 672 citations
  3. Nightmare at test time2006 · International Conference on Machine Learning · 309 citations
  4. Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context2024 · 302 citationsWith George van den Driessche and Paul R. Barham
  5. Fixing Max-Product: Convergent Message Passing Algorithms for MAP LP-Relaxations2007 · 268 citationsWith Tommi S. Jaakkola

From OpenAlex, as of 18 October 2026.

  1. Google has the highest combined h-index among AI organizationsIncludes Google. Our estimates of combined and median h-index at AI organizations, using current affiliations and OpenAlex records.
  2. Google alumni founded or led 82 other organizations, the most among the labs we compareIncludes Google. We trace 189 organizations founded or led by AI lab alumni, and 196 career moves between the labs.
  3. Google had the most people shaping AI every year from 2014 to 2025Includes Google. Our estimates of which organizations employed the most people shaping AI from 1961 to 2025, with a year-by-year chart.
  4. Of 425 people shaping AI who worked at Google, 173 work there nowIncludes Google. Our estimates of where former Google and Google DeepMind people work now, including moves within Google.

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. Amir Globerson research.google. Checked 18 October 2026.
  2. Structured Prediction Models via the Matrix-Tree Theorem - ACL Anthology aclanthology.org. Checked 18 October 2026.
  3. Awards | ICML Atlanta icml.cc. Checked 18 October 2026.
  4. Theory of Machine Learning tml.cs.uni-tuebingen.de. Checked 18 October 2026.
  5. UAI 2018 - Organizing Committee auai.org. Checked 18 October 2026.
  6. Advancing AI’s ability to derive meaning from text and images | HOLI Project | Results in Brief | H2020 | CORDIS | European Commission cordis.europa.eu. Checked 18 October 2026.
  7. ConvApparel: A Benchmark Dataset and Validation Framework for User Simulators in Conversational Recommenders - ACL Anthology aclanthology.org. Checked 18 October 2026.
  8. Amir Globerson | European Laboratory for Learning and Intelligent Systems ellis.eu. Checked 18 October 2026.