School of Mathematical Sciences
Faculty of Engineering, Computer and Mathematical Sciences
I am a Postdoctoral Research Fellow in Applied Mathematics.
Previously I worked for more than 20 years as an electronic engineer, in the simulation and design of VLSI circuits.
My research involves Markov Chain Monte Carlo (MCMC) inference, applied to the area of epidemiology. In particular I am developing software which uses an advanced simulation technique known as importance sampling.
Date Position Institution name 2017 Postdoctoral Research Fellow University of Adelaide 1994 - 2013 Senior Design Engineer RADLogic Pty. Ltd. 1992 - 1993 Electronic Design Engineer self (contracted for CSIRO, AWADI)
Date Institution name Country Title 2014 - 2018 University of Adelaide Australia Ph.D.
Year Citation 2021 Shearer, F. M., Moss, R., Price, D. J., Zarebski, A. E., Ballard, P. G., McVernon, J., . . . McCaw, J. M. (2021). Development of an influenza pandemic decision support tool linking situational analytics to national response policy. Epidemics, 36, 100478.
2017 Ballard, P., Bean, N., & Ross, J. (2017). Intervention to maximise the probability of epidemic fade-out. Mathematical Biosciences, 293, 1-10.
DOI Scopus1 WoS2 Europe PMC1
2016 Ballard, P. G., Bean, N. G., & Ross, J. V. (2016). The probability of epidemic fade-out is non-monotonic in transmission rate for the Markovian SIR model with demography. Journal of Theoretical Biology, 393, 170-178.
DOI Scopus4 WoS4 Europe PMC3
Year Citation — Ballard, P. (n.d.). Software files for PhD thesis of Peter Ballard [Computer Software].
In 2017, I lectured and tutored the "Research Methods" part of subject "Research Methods andStatistics 7025".
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