PeopleofSuperintelligence

Researcher

Agustinus Kristiadi

Agustinus Kristiadi is a machine learning researcher whose work applies uncertainty-aware methods to scientific problems. He studied software engineering at Atma Jaya and computer science at Bonn and Tübingen. His work includes Bayesian neural-network uncertainty, the laplace PyTorch library and FlashMD for molecular dynamics. He is an assistant professor at Western University and a Faculty Affiliate at the Vector Institute; he joined both roles in July 2025.

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Links
Website, Google Scholar, X, LinkedIn and GitHub

Timeline

  1. 2009–2019

    Early study and software work

    He earns a B.Eng. in software engineering at Universitas Atma Jaya Yogyakarta in 2013. He works as a software engineer at GDP Venture from 2013 to 2015. At the University of Bonn, he earns an M.Sc. in computer science in 2019 under Asja Fischer and Jens Lehmann.

  2. 2019–2023

    PhD at Tübingen

    From June 2019 to January 2023, he completes a computer science PhD at the University of Tübingen under Philipp Hennig and Matthias Hein.

  3. 2020

    Bayesian confidence for ReLU nets

    In 2020, he coauthors Being Bayesian, Even Just a Bit, Fixes Overconfidence in ReLU Networks. The paper shows that approximate Gaussian distributions over ReLU-network weights fix the overconfidence problem.

  4. 2021

    Laplace Redux for PyTorch

    In 2021, he coauthors Laplace Redux - Effortless Bayesian Deep Learning. The paper reviews efficient Laplace variants and introduces the laplace software library for PyTorch.

  5. 2023–2025

    Vector postdoc and thesis award

    From February 2023 to June 2025, he works as a Distinguished Postdoctoral Fellow at the Vector Institute with Alán Aspuru-Guzik and Pascal Poupart. In 2023, the German Research Foundation's Theoretical Foundations of Deep Learning program awards him its Best PhD Thesis award.

  6. 2025

    FlashMD for molecular dynamics

    In 2025, he coauthors FlashMD, a NeurIPS Spotlight paper on molecular dynamics. The method predicts positions and momenta over strides one to two orders of magnitude longer than typical molecular-dynamics time steps.

  7. 2026

    AISTATS 2026 chair

    In 2026, he serves as AISTATS Sponsorship Chair.

  8. Since 2025

    Western and Vector appointments

    Since July 2025, he is an assistant professor in Western University's Department of Computer Science and a Faculty Affiliate at the Vector Institute. His research focuses on probabilistic machine learning, uncertainty quantification, decision-making under uncertainty and AI for science.

Career

  1. Since 2025Western UniversityAssistant Professor
  2. Since 2023Vector InstituteDistinguished Postdoctoral Fellow, Faculty Affiliate
  3. 2013–2015GDP VentureSoftware Engineer

Education

  1. 2023University of TübingenPhD
  2. 2019University of BonnM.Sc.
  3. 2013Atma Jaya University YogyakartaB.Eng.

From the biography.

  1. Of 943 people shaping AI who worked at Google, 446 work there nowIncludes Vector Institute. 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.
  2. Nonprofit roles are 2.3 times as common in AI safetyIncludes Vector Institute. We estimate where people focused on safety, alignment and evaluation work. Nonprofit roles appear for 25.1% of safety people with known affiliations, compared with 11.0% in other areas.
  3. Universities (31%) and startups and other companies (25%) employ the largest shares of 2020–2026 entrantsIncludes Vector Institute. 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.
  4. The United States employs an estimated 48% of people shaping AIIncludes Vector Institute. We estimate where the people shaping AI work today, how universities, companies and research institutes split across countries, and how country shares have changed since the 1960s.

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. CV - Agustinus Kristiadi agustinus.kristia.de. Checked 20 October 2026.
  2. Being Bayesian, Even Just a Bit, Fixes Overconfidence in ReLU Networks proceedings.mlr.press. Checked 20 October 2026.
  3. Laplace Redux -- Effortless Bayesian Deep Learning arxiv.org. Checked 20 October 2026.
  4. Publications - Agustinus Kristiadi agustinus.kristia.de. Checked 20 October 2026.
  5. Agustinus Kristiadi - Vector Institute vectorinstitute.ai. Checked 20 October 2026.
  6. FlashMD: long-stride, universal prediction of molecular dynamics papers.nips.cc. Checked 20 October 2026.
  7. Agustinus Kristiadi agustinus.kristia.de. Checked 20 October 2026.
  8. AISTATS 2026 virtual.aistats.org. Checked 20 October 2026.
  9. Agustinus Kristiadi - Computer Science - Western University csd.uwo.ca. Checked 20 October 2026.