Professor James Michael Curran
Research | Current
My main interests are in statistical problems in forensic science. I consult with forensic agencies in New Zealand, Australia and the United Kingdom, and produce and maintain expert systems software for the interpretation of evidence. I have experience as an expert witness for DNA and glass evidence, appearing in courts in the United States and Australia.
In addition to my forensic interests, I have very strong interests in statistical computing, and in automation projects.
Selected publications and creative works (Research Outputs)
- Gupta, A., Curran, J. M., Coulson, S., & Triggs, C. M. (2017). Comparison of intra-day and inter-day variation in LIBS spectra. Forensic Chemistry, 3, 36-40. 10.1016/j.forc.2016.12.002
Other University of Auckland co-authors: Christopher Triggs
- Taylor, D., Curran, J. M., & Buckleton, J. (2017). Importance sampling allows Hd true tests of highly discriminating DNA profiles. Forensic Science International: Genetics, 27, 74-81. 10.1016/j.fsigen.2016.12.004
- Fernando, M. A. C. S., Curran, J., & Meyer, R. (2016). Performance and Limitations of Likelihood based Information Criteria and Leave-one-out Cross-validation Approximation Methods. Paper presented at 18th International Conference on Statistics and Analysis, Singapore. 21 November - 22 November 2016. Related URL.
Other University of Auckland co-authors: Renate Meyer
- Curran, J. M. (2016). Admitting to uncertainty in the LR. Science & Justice, 56 (5), 380-382. 10.1016/j.scijus.2016.05.005
- Buckleton, J., Curran, J., Goudet, J., Taylor, D., Thiery, A., & Weir, B. S. (2016). Population-specific FST values for forensic STR markers: A worldwide survey. Forensic science international. Genetics, 23, 91-100. 10.1016/j.fsigen.2016.03.004
- Rivera, I., Warren, J., & Curran, J. (2016). Quantifying mood, content and dynamics of health forums. ACM International Conference Proceeding Series. 10.1145/2843043.2843379
Other University of Auckland co-authors: Jim Warren
- de Zoete, J., Curran, J., & Sjerps, M. (2016). A probabilistic approach for the interpretation of RNA profiles as cell type evidence. Forensic science international. Genetics, 20, 30-44. 10.1016/j.fsigen.2015.09.007
- de Zoete, J., Curran, J., & Sjerps, M. (2015). Categorical methods for the interpretation of RNA profiles as cell type evidence and their limitations. Forensic Science International: Genetics Supplement Series, 5, e305-e307. 10.1016/j.fsigss.2015.09.121