PeopleofSuperintelligence

Researcher

Alexandre Drouin

Alexandre Drouin is a computer scientist whose AI research spans genomic biomarker discovery, causal methods, probabilistic forecasting and enterprise agents. He earned degrees in computer science and artificial intelligence at Laval University and developed machine-learning algorithms for biomarker discovery in genomic data related to antibiotic resistance. He coauthored studies of gesture recognition and causal discovery, the TACTiS and Lag-Llama time-series forecasting models, and web-agent benchmarks from WorkArena to DRBench. As of October 2026, he heads Frontier AI Research at ServiceNow, is an adjunct professor at Laval University and an associate industry member at Mila, and chairs the NeurIPS 2026 Evaluations and Datasets Track.

Born
1990
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Website

Years link to their sources.

Timeline

  1. 2012–2014

    Degrees at Laval University

    He earns a BSc in Computer Science at Laval University in 2012 and an MSc in Artificial Intelligence there in 2014.

  2. 2018

    Hand-gesture recognition

    In January 2018, he coauthors a study that applies transfer learning to electromyography signals aggregated across multiple users for hand-gesture recognition.

  3. 2019

    PhD in biomarker discovery

    He completes a PhD in Computer Science at Laval University in 2019 under François Laviolette. His doctoral work develops machine-learning algorithms for biomarker discovery in large genomic datasets and their application to antibiotic resistance.

  4. 2020

    Causal discovery with interventions

    In 2020, he coauthors a neural-network method that uses interventional data to learn causal directed acyclic graphs.

  5. 2022

    TACTiS forecasts time series

    In 2022, he coauthors TACTiS, a transformer model for joint probabilistic forecasting of multivariate time series that scales to hundreds of series and handles irregular sampling and missing data.

  6. 2023

    Lag-Llama forecasting model

    In 2023, he coauthors Lag-Llama, a decoder-only transformer foundation model for univariate probabilistic time-series forecasting.

  7. 2024

    WorkArena and BrowserGym

    In 2024, he coauthors WorkArena, a benchmark of 33 tasks for agents using web browsers to complete enterprise software work, and introduces BrowserGym, an environment for designing and evaluating such agents.

  8. As of October 2026

    Head of Frontier AI Research

    In 2025, he coauthors DRBench, a benchmark for evaluating AI agents on complex, open-ended deep research tasks in enterprise settings. As of October 2026, he heads Frontier AI Research at ServiceNow and leads a team studying enterprise agents, data analytics and decision-making. He is an adjunct professor of computer science at Laval University, an associate industry member at Mila, and an Evaluations and Datasets Track chair for NeurIPS 2026.

Career

  1. NowServiceNowHead of Frontier AI Research
  2. NowUniversité LavalAdjunct professor of computer science
  3. NowMilaAssociate industry member

Education

  1. 2019Université LavalPhD in Computer Science
  2. 2014Université LavalMSc in Artificial Intelligence
  3. 2012Université LavalBSc in Computer Science

From the biography.

  1. Universities (31%) and startups and other companies (25%) employ the largest shares of 2020–2026 entrantsIncludes Mila. Among 819 people whose first recorded role started in 2020–2026 and who have a known current organization, 60% work in commercial sectors (25% at startups and other companies, 23% at frontier labs and 13% at big tech, with 9 in two), and 31% work at universities, compared with 66% for earlier entrants.
  2. Companies supply the most prior-work hires at 7 of the 9 frontier AI labsIncludes Mila. Our estimates of the organizations where 550 people worked directly before joining 9 frontier AI labs across 620 career transitions, comparing the main feeder organizations per lab.
  3. Of 943 people shaping AI who worked at Google, 446 work there nowIncludes Mila. Our estimates of where the 943 people shaping AI who worked at Google and Google DeepMind work now: 446 at Google and 452 across 278 other organizations.
  4. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other universityIncludes Université Laval. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other university. We compare doctorate and 5+ year employment links, career timing and current workplaces for 187 major-prize and 1,111 best-paper winners.

Sources and credits

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

  1. Alexandre Drouin alexdrouin.com. Checked 21 October 2026.
  2. Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning arxiv.org. Checked 21 October 2026.
  3. Alexandre Drouin | Mila mila.quebec. Checked 21 October 2026.
  4. Differentiable Causal Discovery from Interventional Data | NeurIPS 2020 proceedings.neurips.cc. Checked 21 October 2026.
  5. TACTiS: Transformer-Attentional Copulas for Time Series proceedings.mlr.press. Checked 21 October 2026.
  6. Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting arxiv.org. Checked 21 October 2026.
  7. WorkArena: How Capable are Web Agents at Solving Common Knowledge Work Tasks? proceedings.mlr.press. Checked 21 October 2026.
  8. DRBench: A Realistic Benchmark for Enterprise Deep Research arxiv.org. Checked 21 October 2026.
  9. Responsible AI metadata requirements for the Evaluations and Datasets Track NeurIPS 2026 blog.neurips.cc. Checked 21 October 2026.