PeopleofSuperintelligence

Researcher

Alhussein Fawzi

Alhussein Fawzi is an AI researcher whose work has ranged from adversarial robustness to algorithm discovery. Fawzi earned a PhD at EPFL in 2016 and was a Google DeepMind research scientist in London by 2019. His work includes DeepFool and universal adversarial perturbations, AlphaTensor’s search for matrix-multiplication algorithms, and FunSearch’s code-based mathematical search; he received the MIT Innovators Under 35 award in 2023. As of October 2026, he is co-founder and CEO of Hiverge, which builds AI-agent tools for algorithm discovery.

Now at
Hiverge and Google DeepMind
Works
42
Citations
11,581
h-index
20
Badges

Publication numbers from OpenAlex, as of 18 October 2026.

Timeline

  1. 2016

    An EPFL doctorate

    He earns a PhD at EPFL’s signal processing laboratory in 2016. His training includes an MSc from EPFL and a postdoctoral year in UCLA’s Computer Science Department.

  2. 2016

    DeepFool tests robustness

    With Seyed-Mohsen Moosavi-Dezfooli and Pascal Frossard, he publishes DeepFool in 2016, an algorithm that computes perturbations to test deep-network robustness.

  3. 2017

    Universal adversarial perturbations

    In a 2017 CVPR paper with Seyed-Mohsen Moosavi-Dezfooli, Omar Fawzi, and Pascal Frossard, he proposes a universal image-agnostic perturbation that causes natural images to be misclassified with high probability.

  4. 2019

    A Google DeepMind role

    In 2019, he is a research scientist at Google DeepMind in London, working on robust machine learning and applying machine learning to mathematical problems.

  5. 2022

    AlphaTensor discovers algorithms

    In 2022, he contributes to AlphaTensor, an AI system that discovers fast matrix-multiplication algorithms through reinforcement learning and adapts them to specific hardware.

  6. 2023

    FunSearch and an MIT award

    In 2023, he coauthors FunSearch, which pairs a large language model with an evaluator to search code for mathematical solutions and improved bin-packing algorithms; he receives the MIT Innovators Under 35 award for algorithm discovery.

  7. As of October 2026

    Leading Hiverge

    As of October 2026, he is co-founder and CEO of Hiverge, which builds an enterprise platform that coordinates AI agents to discover algorithms.

A language model matched the links in this timeline to people, organizations and papers (provisional, model-judged).

Career

  1. NowHivergeCo-founder and CEO
  2. 2019–2025Google DeepMindResearch scientist
  3. 2017–2018University of California, Los AngelesPostdoctoral researcher

Education

  1. 2016EPFLMSc

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

Most-cited works

  1. DeepFool: A Simple and Accurate Method to Fool Deep Neural Networks2016 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition · 5,308 citationsWith Pascal Frossard
  2. Universal Adversarial Perturbations2017 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition · 2,673 citationsWith Pascal Frossard
  3. Mathematical discoveries from program search with large language models2023 · Nature · 518 citationsWith Alexander Novikov, Bernardino Romera-Paredes, Matej Balog and Pushmeet Kohli
  4. Discovering faster matrix multiplication algorithms with reinforcement learning2022 · Nature · 477 citationsWith Aja Huang, Alexander Novikov, Bernardino Romera-Paredes, David Silver, Demis Hassabis and Julian Schrittwieser
  5. Analysis of classifiers’ robustness to adversarial perturbations2017 · Machine Learning · 288 citationsWith Pascal Frossard

From OpenAlex, as of 18 October 2026.

  1. The median h-index is 55 at universities and 20 at frontier AI labsIncludes Alhussein Fawzi. The median h-index is 55 at universities and 20 at frontier AI labs. We compare publishing careers, citations and moves to estimate how universities and frontier labs contribute to AI research.
  2. 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.
  3. Google alumni founded or led 79 other organizations, the most among the labs we compareIncludes Google. We trace 181 organizations founded or led by AI lab alumni, and 187 career moves between the labs.
  4. 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 1962 to 2025, with a year-by-year chart.

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. Alhussein Fawzi fawzi.ai. Checked 18 October 2026.
  2. Alhussein Fawzi, PhD: Proving inequalities with deep learning memento.epfl.ch. Checked 18 October 2026.
  3. DeepFool: A Simple and Accurate Method to Fool Deep Neural Networks openaccess.thecvf.com. Checked 18 October 2026.
  4. Universal Adversarial Perturbations openaccess.thecvf.com. Checked 18 October 2026.
  5. Discovering novel algorithms with AlphaTensor deepmind.google. Checked 18 October 2026.
  6. FunSearch: Making new discoveries in mathematical sciences using Large Language Models deepmind.google. Checked 18 October 2026.
  7. Hiverge | Transforming the algorithms the world runs on hiverge.ai. Checked 18 October 2026.
  8. Exclusive: Former Google DeepMind researchers secure $5 million seed round for new company to bring algorithm-designing AI to the masses finance.yahoo.com. Checked 18 October 2026.