Dr Chaitanya Joshi
Senior Lecturer
School of Public Health
College of Health
Eligible to supervise Masters and PhD - email supervisor to discuss availability.
I am a Senior Lecturer in Statistics at the School of Public Health. My expertise lies in Bayesian approaches to quantifying uncertainty, risk and in developing methods for better decision-making.
I am interested in Bayesian methods for decision-making, uncertainty and risk quantification. My research is motivated by the need to bridge the gap between research and practice. I seek to develop decision-making frameworks that are practical yet grounded in the mathematical and philosophical aspects of Bayesian inference. My current research focus is on expert (prior) elicitation and robustness, and on quantifying the risk and uncertainty in possible decisions. Majority of my research is motivated by real-life applications, which are currently Health and cyber-risk.
In the past, I have worked on statistical modelling problems in diverse areas such as Crime Science, Ecology, Engineering, Market research, Pharmaceuticals, Psychology, and Sports science.
Prior to starting my position at the University of Adelaide in 2025, I was at the Department of Statistics at the University of Auckland (NZ) and prior to that, at the Department of Mathematics, University of Waikato (NZ).
Prior to my PhD at the Trinity College Dublin (IE), I worked as a Statistician on clinical trials for BMS and Novartis in Mumbai (IN).
I am interested in Bayesian methods for decision-making, uncertainty and risk quantification. My research is motivated by the need to bridge the gap between research and practice. I seek to develop decision-making frameworks that are practical yet grounded in the mathematical and philosophical aspects of Bayesian inference. My current research focus is on expert (prior) elicitation and robustness, and on quantifying the risk and uncertainty in possible decisions. Majority of my research is motivated by real-life applications, which are currently Health and cyber-risk.
In the past, I have worked on statistical modelling problems in diverse areas such as Crime Science, Ecology, Engineering, Market research, Pharmaceuticals, Psychology, and Sports science.
Prior to starting my position at the University of Adelaide in 2025, I was at the Department of Statistics at the University of Auckland (NZ) and prior to that, at the Department of Mathematics, University of Waikato (NZ).
Prior to my PhD at the Trinity College Dublin (IE), I worked as a Statistician on clinical trials for BMS and Novartis in Mumbai (IN).
| Date | Position | Institution name |
|---|---|---|
| 2025 - ongoing | Senior Lecturer | University of Adelaide |
| 2022 - 2025 | Senior Lecturer | University of Auckland |
| 2015 - 2022 | Senior Lecturer | University of Waikato |
| 2011 - 2015 | Lecturer | University of Waikato |
| 2010 - 2011 | Research Associate | Trinity College Dublin |
| 2006 - 2007 | Executive Biostatistician | Bristol-Myers Squibb (India) |
| 2004 - 2006 | Statistical Analyst | Novartis (India) |
| 2004 - 2004 | Statistical Modelling Associate | Dun & Bradstreet |
| 2003 - 2004 | Market Research Analyst | Metric Consultancy Limited |
| Date | Institution name | Country | Title |
|---|---|---|---|
| 2007 - 2011 | Trinity College Dublin | Ireland | Ph.D. |
| 2001 - 2003 | Indian Institute of Technology Kanpur | India | M.Sc. |
| 1998 - 2001 | University of Mumbai | India | B.Sc. |
| Year | Citation |
|---|---|
| 2026 | Slapničar, S., & Joshi, C. (2026). The FABRICS framework: A Bayesian approach to financial quantification of cyber risk. Computers and Security, 167, 18 pages. |
| 2025 | Joshi, C., Slapničar, S., Yang, J., & Ko, R. K. L. (2025). Contrasting the optimal resource allocation to cybersecurity controls and cyber insurance using prospect theory versus expected utility theory. Computers & Security, 154, 104450. Scopus8 WoS7 |
| 2025 | Hall, S. R., Taylor, A., Sanson, M., Joshi, C., & Garry, M. (2025). Fluency: A surprisingly overlooked area of scientific communication?. Journal of Applied Research in Memory and Cognition, 14(3), 438-443. |
| 2025 | Pearce, A., Joshi, C. A., Chan, G. A., Lamberton, T., MacLean, S., Vane, A. W., & Hébert-Losier, K. M. (2025). 15-year patient-reported outcomes of a cemented flanged cup and stem combination in primary total hip arthroplasty: a New Zealand study. HIP International, 36(1), 34-44. Scopus2 Europe PMC2 |
| 2025 | Pearce, A., Joshi, C., Chan, G., Lamberton, T., MacLean, S., Vane, A., & Hébert-Losier, K. (2025). 10-year survival comparison of two cemented implants in primary total hip arthroplasty for osteoarthritis: a New Zealand regional study. Archives of Orthopaedic and Trauma Surgery, 145(1), 495. Scopus1 Europe PMC1 |
| 2024 | Falconer, J. R., Frank, E., Polaschek, D. L. L., & Joshi, C. (2024). Eliciting Informative Priors by Modeling Expert Decision Making. Decision Analysis, 21(2), 77-90. Scopus4 WoS3 |
| 2024 | Joshi, C., Nel, C., Cano, J., & Polaschek, D. L. L. (2024). Parole Board Decision-Making using Adversarial Risk Analysis. American Statistician, 78(3), 345-358. Scopus2 |
| 2024 | Jolliffe Simpson, A. D., Joshi, C., & Polaschek, D. L. L. (2024). Modeling behavioral patterns of family violence aggressors. Crime Science, 13(1), 13 pages. Scopus1 WoS1 |
| 2024 | Yang, J., Joshi, C., & Ruggeri, F. (2024). On global robustness of an adversarial risk analysis solution. Statistica Neerlandica, 78(4), 776-795. |
| 2024 | Jolliffe Simpson, A. D., Joshi, C., & Polaschek, D. L. L. (2024). Correction to: Modeling behavioral patterns of family violence aggressors (Crime Science, (2024), 13, 1, (19), 10.1186/s40163-024-00218-6). Crime Science, 13(1), 2 pages. |
| 2024 | Quirós Corte, P., Cano, J., Sánchez Ayra, E., Joshi, C., & Gómez Comendador, V. F. (2024). Modeling the Propagation of Infectious Diseases across the Air Transport Network: A Bayesian Approach. Mathematics, 12(8), 1241. Scopus1 |
| 2023 | Ejaz, M., Joshi, C., & Joe, S. (2023). Adversarial risk analysis for auctions using non-strategic play and level-k thinking: A general case of n bidders with regret. Communications in Statistics Theory and Methods, 52(20), 7146-7164. Scopus3 WoS3 |
| 2023 | Joshi, C., Brown, P. T., & Joe, S. (2023). On approximating the shape of one-dimensional posterior marginals using the low discrepancy points. Communications in Statistics Theory and Methods, 52(16), 5568-5586. |
| 2023 | Joshi, C., & Ruggeri, F. (2023). On a class of prior distributions that accounts for uncertainty in the data. International Journal of Approximate Reasoning, 161, 108980. Scopus2 WoS1 |
| 2023 | Jolliffe Simpson, A. D., Joshi, C., & Polaschek, D. L. L. (2023). Unpacking Multiagency Structured Professional Judgment Risk Assessments for Family Violence. Journal of Interpersonal Violence, 38(11-12), 7702-7727. Scopus4 Europe PMC1 |
| 2022 | Elliot Noe, E., Innes, J., Barnes, A. D., Joshi, C., & Clarkson, B. D. (2022). Habitat provision is a major driver of native bird communities in restored urban forests. Journal of Animal Ecology, 91(7), 1444-1457. Scopus22 WoS20 Europe PMC5 |
| 2022 | Jordan, K., Zajac, R., Bernstein, D., Joshi, C., & Garry, M. (2022). Trivially informative semantic context inflates people's confidence they can perform a highly complex skill. Royal Society Open Science, 9(3), 15 pages. Scopus10 WoS9 Europe PMC6 |
| 2022 | Falconer, J. R., Frank, E., Polaschek, D. L. L., & Joshi, C. (2022). Methods for Eliciting Informative Prior Distributions: A Critical Review. Decision Analysis, 19(3), 189-204. Scopus27 WoS24 |
| 2021 | Joshi, C., Aliaga, J. R., & Insua, D. R. (2021). Insider Threat Modeling: An Adversarial Risk Analysis Approach. IEEE Transactions on Information Forensics and Security, 16, 1131-1142. Scopus38 WoS29 |
| 2021 | Joshi, C., Curtis-Ham, S., D’ath, C., & Searle, D. (2021). Considerations for developing predictive spatial models of crime and new methods for measuring their accuracy. ISPRS International Journal of Geo Information, 10(9), 597. Scopus2 WoS2 |
| 2021 | Brown, P. T., Joshi, C., Joe, S., & Rue, H. (2021). A novel method of marginalisation using low discrepancy sequences for integrated nested Laplace approximations. Computational Statistics and Data Analysis, 157, 107147. Scopus3 WoS2 |
| 2021 | Ejaz, M., Joshi, C., & Joe, S. (2021). Adversarial risk analysis for first-price sealed-bid auctions. Australian and New Zealand Journal of Statistics, 63(2), 357-376. Scopus8 WoS9 |
| 2021 | Ejaz, M., Joe, S., & Joshi, C. (2021). Adversarial risk analysis for auctions using mirror equilibrium and bayes nash equilibrium. Decision Analysis, 18(3), 185-202. Scopus8 WoS9 |
| 2021 | Jolliffe Simpson, A. D., Joshi, C., & Polaschek, D. L. L. (2021). Predictive Validity of the DYRA and SAFVR: New Zealand Police’s Family Violence Risk Assessment Instruments. Criminal Justice and Behavior, 48(10), 1487-1508. Scopus14 WoS13 |
| 2018 | Laughlin, D. C., Chalmandrier, L., Joshi, C., Renton, M., Dwyer, J. M., & Funk, J. L. (2018). Generating species assemblages for restoration and experimentation: A new method that can simultaneously converge on average trait values and maximize functional diversity. Methods in Ecology and Evolution, 9(7), 1764-1771. Scopus65 WoS64 |
| 2018 | Joshi, C., Ruggeri, F., & Wilson, S. P. (2018). Prior Robustness for Bayesian Implementation of the Fault Tree Analysis. IEEE Transactions on Reliability, 67(1), 170-183. Scopus17 WoS17 |
| 2017 | Rutledge, S., Wall, A. M., Mudge, P. L., Troughton, B., Campbell, D. I., Pronger, J., . . . Schipper, L. A. (2017). The carbon balance of temperate grasslands part I: The impact of increased species diversity. Agriculture Ecosystems and Environment, 239, 310-323. Scopus44 WoS44 Europe PMC18 |
| 2017 | Rutledge, S., Wall, A. M., Mudge, P. L., Troughton, B., Campbell, D. I., Pronger, J., . . . Schipper, L. A. (2017). The carbon balance of temperate grasslands part II: The impact of pasture renewal via direct drilling. Agriculture Ecosystems and Environment, 239, 132-142. Scopus40 WoS40 Europe PMC15 |
| 2017 | Salmanzadeh, M., Hartland, A., Stirling, C. H., Balks, M. R., Schipper, L. A., Joshi, C., & George, E. (2017). Isotope Tracing of Long-Term Cadmium Fluxes in an Agricultural Soil. Environmental Science and Technology, 51(13), 7369-7377. Scopus91 WoS79 Europe PMC54 |
| 2015 | Laughlin, D. C., Joshi, C., Richardson, S. J., Peltzer, D. A., Mason, N. W. H., & Wardle, D. A. (2015). Quantifying multimodal trait distributions improves trait-based predictions of species abundances and functional diversity. Journal of Vegetation Science, 26(1), 46-57. Scopus49 WoS45 Europe PMC28 |
| 2015 | Laughlin, D. C., & Joshi, C. (2015). Theoretical consequences of trait-based environmental filtering for the breadth and shape of the niche: New testable hypotheses generated by the Traitspace model. Ecological Modelling, 307, 10-21. Scopus16 WoS12 |
| 2014 | Brown, M. A., Clarkson, B. D., Barton, B. J., & Joshi, C. (2014). Implementing ecological compensation in New Zealand: Stakeholder perspectives and a way forward. Journal of the Royal Society of New Zealand, 44(1), 34-47. Scopus18 WoS15 |
| 2013 | Brown, M. A., Clarkson, B. D., Barton, B. J., & Joshi, C. (2013). Ecological compensation: An evaluation of regulatory compliance in New Zealand. Impact Assessment and Project Appraisal, 31(1), 34-44. Scopus47 WoS37 |
| 2012 | Laughlin, D. C., Joshi, C., van Bodegom, P. M., Bastow, Z. A., & Fulé, P. Z. (2012). A predictive model of community assembly that incorporates intraspecific trait variation. Ecology Letters, 15(11), 1291-1299. Scopus242 WoS228 Europe PMC132 |
| - | Jolliffe Simpson, A., Joshi, C., & Polaschek, D. (2024). Modeling behavioral patterns of family violence aggressors. CrimRxiv. |
| Year | Citation |
|---|---|
| 2015 | Li, X., Joshi, C., Tan, A. Y. S., & Ko, R. K. L. (2015). Inferring user actions from provenance logs. In Proceedings 14th IEEE International Conference on Trust Security and Privacy in Computing and Communications Trustcom 2015 Vol. 1 (pp. 742-749). FINLAND, Aalto Univ, Helsinki: IEEE. DOI Scopus4 WoS3 |
Signature Research Theme Ph.D Scholarship by Adelaide University (internal funding) for 'BayesGRADE: A Robust Bayesian Framework for Quantifying Expert Judgement and Uncertainty in Evidence-Sparse Clinical Guidelines'.
Course coordinator for: PUBH 2007 (Essentials of Biostatistics), PUBH 4003/5011 (Introduction to Biostatistics), PUBH 5019 (Advanced Biostatistics).
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