PeopleofSuperintelligence

Researcher

Tomas Mikolov

Also known as Tomáš Mikolov

Tomas Mikolov is an AI researcher whose work spans recurrent language models, word representations and natural language processing. His career runs from the RNNLM toolkit and a Brno doctorate to word2vec at Google Brain, fastText and fundamental AI research at Facebook AI, and a CIIRC group focused on complex systems. The Neuron Award named him a laureate in 2019, and his 2013 paper on word and phrase representations received NeurIPS's 2023 Test of Time Award. As of October 2026, ELLIS lists him as a Fellow at CTU Prague, and BottleCap AI lists him as Co-Founder and CSO.

Works
80
Citations
85,281
h-index
38

Publication numbers from OpenAlex, as of 14 October 2026.

Photo of Tomas Mikolov

Timeline

  1. 2010

    Training recurrent language models

    The RNNLM toolkit, published in 2010, enabled training of large recurrent neural networks and produced benchmark results in language modeling, speech recognition, machine translation and text generation.

  2. 2012

    A doctorate in language models

    At Brno University of Technology, he completed a PhD in 2012 on recurrent neural networks and language models.

  3. 2013

    Word vectors at Google Brain

    At Google Brain, he developed word2vec, an algorithm for learning word representations. His 2013 ICLR paper with coauthors proposed two neural architectures for learning word vectors from large data sets.

  4. 2014–2019

    Research across two fronts

    He moved to Facebook AI in 2014 for fundamental AI research and continued applied natural language work through the fastText project. At the start of 2019, he became a Neuron Award laureate for a scientific discovery in artificial intelligence and computer science.

  5. April 2020

    A research group in Prague

    He joined CIIRC CTU as head of a research group at the RICAIP centre. The group set out to study complex systems as a path toward strong artificial intelligence.

  6. 2023

    A paper earns a time award

    The 2013 paper Distributed Representations of Words and Phrases and their Compositionality received the 2023 NeurIPS Test of Time Award. It presented improvements to Skip-gram and methods for learning phrase vectors.

  7. As of October 2026

    A fellowship and a company

    ELLIS lists him as a Fellow at Czech Technical University in Prague. BottleCap AI lists him as Co-Founder and CSO.

Sources and credits

Photo: Jindřich Nosek (NoJin), via Wikimedia Commons. License: CC BY-SA 4.0. Source: commons.wikimedia.org. Cropped to a square and resized. Ask us to remove or replace this photo.

  1. Understanding Language Modeling | ÚFAL ufal.mff.cuni.cz. Checked 14 October 2026.
  2. Industry Leaders in Signal Processing and Machine Learning: Tomas Mikolov | IEEE Signal Processing Society signalprocessingsociety.org. Checked 14 October 2026.
  3. Efficient Estimation of Word Representations in Vector Space | Google Research research.google. Checked 14 October 2026.
  4. Internationally acclaimed expert Tomáš Mikolov coming from Facebook AI to join CIIRC CTU and focus on developing strong artificial intelligence. | CIIRC ciirc.cvut.cz. Checked 14 October 2026.
  5. NeurIPS 2023 Awards neurips.cc. Checked 14 October 2026.
  6. Distributed Representations of Words and Phrases and their Compositionality | NeurIPS Proceedings proceedings.neurips.cc. Checked 14 October 2026.
  7. Tomas Mikolov | European Laboratory for Learning and Intelligent Systems ellis.eu. Checked 14 October 2026.
  8. Home | BottleCap AI bottlecapai.com. Checked 14 October 2026.