PeopleofSuperintelligence

Researcher

Ann Nicholson

Also known as Ann E. Nicholson

Ann Nicholson is an AI researcher whose work uses Bayesian networks to support reasoning under uncertainty and decision support. She studied computer science at the University of Melbourne, received a Rhodes scholarship to Oxford in 1988, completed an Engineering Science doctorate there in 1993, and joined Monash in 1994. She co-founded Bayesian Intelligence and co-authored Bayesian Artificial Intelligence. Her Monash career included senior faculty roles through 2025, and she co-authored the 2020 BARD paper on group Bayesian reasoning. ATSE elected her a Fellow in 2022; as of October 2026, she is a Professor at Monash.

Works
161
Citations
5,495
h-index
29
Badges

Publication numbers from OpenAlex, as of 18 October 2026.

Timeline

  1. 1987–1993

    A Rhodes path to Oxford

    She earns computer-science degrees at the University of Melbourne, receives a Rhodes scholarship to Oxford in 1988, and completes an Engineering Science doctorate there in 1993.

  2. 1994

    Joining Monash

    After two years as a postdoctoral researcher at Brown University, she joins Monash as a computer-science lecturer in 1994.

  3. 2007

    Co-founding Bayesian Intelligence

    She co-founds the consulting company Bayesian Intelligence with Kevin Korb in 2007.

  4. 2010

    Bayesian Artificial Intelligence

    She and Kevin Korb co-author the textbook Bayesian Artificial Intelligence in 2010.

  5. 2014–2025

    Leading Monash IT

    She serves as Associate Dean (Education) from 2014 to 2016 and Deputy Dean (Research) from 2018 to 2020, and holds the Dean role from 2020 to 2025.

  6. 2020

    BARD for collaborative reasoning

    In 2020, she co-authors a paper describing BARD, an online method and expert system for group construction of Bayesian networks. An experiment reports that BARD teams outperform individual users on the tested problems.

  7. 2022

    Fellow of ATSE

    ATSE elects her a Fellow in 2022. Her models and tools support decision-making in applications such as fog forecasting, clinical diagnosis, and bushfire risk assessment.

  8. As of October 2026

    Professor at Monash

    She is a Professor in Monash University's Faculty of Information Technology. Her research interests include Bayesian networks and reasoning under uncertainty.

Career

  1. Since 1994Monash UniversityComputer science lecturer, Associate Dean (Education)
  2. From 2007Bayesian IntelligenceCo-founder
  3. 1993–1994Brown UniversityPostdoctoral researcher

Education

  1. 1993University of OxfordEngineering Science doctorate
  2. 1988University of MelbourneComputer science degrees

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

Most-cited works

  1. Bayesian Artificial Intelligence2003 · Chapman & Hall/CRC eBooks · 1,068 citations
  2. Parameterisation and evaluation of a Bayesian network for use in an ecological risk assessment2006 · Environmental Modelling & Software · 477 citations
  3. Dynamic Time Warping Averaging of Time Series Allows Faster and More Accurate Classification2014 · Proceedings · 244 citations
  4. Planning under time constraints in stochastic domains1995 · Artificial Intelligence · 199 citationsWith Leslie Pack Kaelbling and Thomas L. Dean
  5. Planning with deadlines in stochastic domains1993 · 182 citationsWith Leslie Pack Kaelbling and Thomas L. Dean

From OpenAlex, as of 18 October 2026.

  1. 14% of AI doctorate holders from 2010 to 2016 founded or led a company or lab by 10 years after graduationIncludes Ann Nicholson. We estimate how often AI doctorate holders founded or led a company or lab by 10 years after their doctorate, and how the timing changed across cohorts.
  2. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes Monash University. Our estimates of where the people shaping AI studied and where their careers led, from education records in cited biographies.
  3. The company share of AI researchers’ top papers rose from 3% to 32%Includes Monash University. 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. The median h-index is 54 at universities and 20 at frontier AI labsIncludes University of Oxford. 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.

Colleagues

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

Sources and credits

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  1. Ann Nicholson - Monash University research.monash.edu. Checked 18 October 2026.
  2. Conferencia por Ann Nicholson: "Applications of Bayesian Networks”, - ESIIAB esiiab.uclm.es. Checked 18 October 2026.
  3. About Us - Bayesian Intelligence bayesian-intelligence.com. Checked 18 October 2026.
  4. BARD: A structured technique for group elicitation of Bayesian networks to support analytic reasoning arxiv.org. Checked 18 October 2026.
  5. Individuals vs. BARD: Experimental Evaluation of an Online System for Structured, Collaborative Bayesian Reasoning frontiersin.org. Checked 18 October 2026.
  6. Ann Nicholson - Australian Academy of Technological Sciences & Engineering (ATSE) atse.org.au. Checked 18 October 2026.