PeopleofSuperintelligence

Researcher

Andy Lo

Andy Lo is an AI researcher whose work spans ontology learning, reasoning, language models, and speech systems. He was part of a Cambridge bird-counting project in March 2022 and coauthored OLLM in 2024, an LLM method for building ontology hierarchies. His Mistral papers from 2025 through 2026 covered reasoning models, multimodal audio, coding agents, compact language models, and speech generation. As of October 2026, he is an AI scientist at Mistral AI.

Works
3
Citations
4
h-index
1
Badges

Publication numbers from OpenAlex, as of 18 October 2026.

Timeline

  1. March 2022

    Counting migrating shearwaters

    In March 2022, he is part of a University of Cambridge team tasked with building a simulation tool to count Yelkouan shearwaters during migration.

  2. 2024

    Building ontology hierarchies

    In 2024, he coauthors OLLM, a method for building the taxonomic backbone of an ontology with a fine-tuned LLM. The paper appears in the NeurIPS 2024 main conference track.

  3. June 2025

    Mistral's first reasoning model

    In June 2025, he coauthors the paper that introduces Magistral, Mistral's first reasoning model and a scalable reinforcement learning pipeline.

  4. July–August 2025

    Voxtral and Devstral

    In July 2025, he coauthors Voxtral, a pair of multimodal audio chat models for understanding spoken audio and text. In August 2025, he coauthors Devstral, a lightweight open-source model for coding agents.

  5. January 2026

    Ministral 3

    In January 2026, he coauthors the Ministral 3 series, a family of parameter-efficient dense language models for applications with limited compute and memory.

  6. February–March 2026

    Voxtral Realtime and TTS

    In February 2026, he coauthors Voxtral Realtime, a streaming speech recognition model that matches offline transcription quality at sub-second latency. In March 2026, he coauthors Voxtral TTS, a multilingual model that generates speech from as little as three seconds of reference audio.

  7. As of October 2026

    AI scientist at Mistral

    He is an AI scientist at Mistral AI.

Career

  1. NowMistral AIAI scientist
  2. 2022University of Cambridge

From the biography.

Most-cited works

  1. Ministral 32026 · 4 citationsWith Abhinav Rastogi, Alexander H. Liu, Alexandre Sablayrolles, Amélie Héliou, Andy Ehrenberg and Baptiste Bout
  2. Voxtral Realtime2026 · 0 citationsWith Abhinav Rastogi, Alexander H. Liu, Alexandre Sablayrolles, Amélie Héliou, Andy Ehrenberg and Anmol Agarwal
  3. Voxtral TTS2026 · 0 citationsWith Abhinav Rastogi, Alexander H. Liu, Alexandre Sablayrolles, Amélie Héliou, Andy Ehrenberg and Anmol Agarwal

From OpenAlex, as of 18 October 2026.

  1. The median h-index is 54 at universities and 20 at frontier AI labsIncludes Andy Lo. The median h-index is 54 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 alumni founded or led 82 other organizations, the most among the labs we compareIncludes Mistral AI. We trace 189 organizations founded or led by AI lab alumni, and 196 career moves between the labs.
  3. The company share of AI researchers’ top papers rose from 3% to 32%Includes Mistral AI. We estimate where leading AI researchers worked when their most-cited papers appeared. The company share rose from 3% in 1975–1979 to 32% in 2020–2024.
  4. Google has the highest combined h-index among AI organizationsIncludes Mistral AI. Our estimates of combined and median h-index at AI organizations, using current affiliations and OpenAlex records.

Colleagues

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

Sources and credits

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

  1. Students win awards for their designs cst.cam.ac.uk. Checked 18 October 2026.
  2. [2410.23584] End-to-End Ontology Learning with Large Language Models arxiv.org. Checked 18 October 2026.
  3. End-to-End Ontology Learning with Large Language Models proceedings.neurips.cc. Checked 18 October 2026.
  4. [2506.10910] Magistral arxiv.org. Checked 18 October 2026.
  5. [2507.13264] Voxtral arxiv.org. Checked 18 October 2026.
  6. [2509.25193] Devstral: Fine-tuning Language Models for Coding Agent Applications arxiv.org. Checked 18 October 2026.
  7. [2601.08584] Ministral 3 arxiv.org. Checked 18 October 2026.
  8. [2602.11298] Voxtral Realtime arxiv.org. Checked 18 October 2026.
  9. [2603.25551] Voxtral TTS arxiv.org. Checked 18 October 2026.
  10. andylolu2 (Andy Lo) · GitHub github.com. Checked 18 October 2026.