PeopleofSuperintelligence

Researcher

Alexandre Passos

Also known as Alexandre Tachard Passos, Alex Tachard Passos, Re Passos

Alexandre Passos is a machine-learning researcher whose early work began with a research scholarship at Genos in 2007–2008. He coauthored scikit-learn, developed work on multitask learning and named-entity resolution, and worked on TensorFlow Eager at Google. In 2022, he coauthored a report on T5X and SeqIO for large-language-model training and evaluation. In 2024, he was an author of the OpenAI o1 System Card. He joined Periodic Labs in 2025; as of October 2026, he is part of its founding team.

Works
32
Citations
70,849
h-index
10
Badges

Publication numbers from OpenAlex, as of 18 October 2026.

Timeline

  1. 2007–2008

    A research scholarship at Genos

    He holds a research scholarship with Genos from 2007 to 2008.

  2. 2011

    Scikit-learn in Python

    In 2011, he coauthors the scikit-learn paper, which presents a Python module with machine-learning algorithms for supervised and unsupervised problems.

  3. 2012

    Latent task structures

    In 2012, he and his coauthors present a flexible, nonparametric Bayesian model for latent task structures in multitask learning.

  4. 2014

    Phrase embeddings for entity resolution

    At CoNLL in 2014, he coauthors a paper on lexicon-infused phrase embeddings for named-entity resolution.

  5. 2018

    TensorFlow Eager at Google

    In 2018, he works as a software engineer on Google's TensorFlow team, focusing on Eager execution and related usability projects. He studies at UMass under Andrew McCallum.

  6. 2022

    T5X and SeqIO

    In 2022, he coauthors a report that introduces T5X for large-language-model training at scale and SeqIO for reproducible training-data and evaluation pipelines.

  7. 2024

    The OpenAI o1 System Card

    In 2024, he is an author of the OpenAI o1 System Card.

  8. Since 2025

    Periodic Labs founding team

    He joins Periodic Labs among its AI and scientific hires in 2025. As of October 2026, he is part of its founding team.

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

Career

  1. Since 2025Periodic LabsFounding team member
  2. 2018–2022GoogleSoftware engineer
  3. 2009–2015University of Massachusetts Amherst
  4. 2007–2008Genos

Education

  1. University of Massachusetts Amherst

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

Most-cited works

  1. Scikit-learn: Machine Learning in Python2012 · 69,575 citationsWith Bertrand Thirion and David Cournapeau
  2. Efficient Non-parametric Estimation of Multiple Embeddings per Word in Vector Space2014 · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 444 citationsWith Andrew K. McCallum and Arvind Neelakantan
  3. Large scale distributed neural network training through online distillation2018 · 315 citationsWith Geoffrey Hinton
  4. Lexicon Infused Phrase Embeddings for Named Entity Resolution2015 · 265 citationsWith Andrew K. McCallum
  5. TensorFlow Eager: A Multi-Stage, Python-Embedded DSL for Machine Learning2019 · 55 citationsWith Rajat Monga

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 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.
  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 1962 to 2025, with a year-by-year chart.
  4. Of 410 people shaping AI who worked at Google, 161 work there nowIncludes Google. Our estimates of where former Google and Google DeepMind people work now, including moves within Google.

Colleagues

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

Sources and credits

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

  1. Pessoas genosmus.com. Checked 18 October 2026.
  2. Scikit-learn: Machine Learning in Python jmlr.org. Checked 18 October 2026.
  3. [1206.6486] Flexible Modeling of Latent Task Structures in Multitask Learning arxiv.org. Checked 18 October 2026.
  4. Lexicon Infused Phrase Embeddings for Named Entity Resolution - ACL Anthology aclanthology.org. Checked 18 October 2026.
  5. Speaker: Alexandre Passos: Artificial Intelligence Conference: Applied AI & machine learning training conferences.oreilly.com. Checked 18 October 2026.
  6. [2203.17189] Scaling Up Models and Data with t5x and seqio arxiv.org. Checked 18 October 2026.
  7. [2412.16720] OpenAI o1 System Card arxiv.org. Checked 18 October 2026.
  8. Top OpenAI, Google Brain researchers set off a $300M VC frenzy for their startup Periodic Labs | TechCrunch techcrunch.com. Checked 18 October 2026.
  9. Periodic Labs | Deep Tech Week deep-tech-week.com. Checked 18 October 2026.