Brief History, Research interests, Teaching, Graduate Projects, Administration, Publications.
John Murray

Associate Professor:
School of Mathematics and Statistics, and
National Centre in HIV
Epidemiology and Clinical Research
Office:
Room 3061, The Red Centre
Phone:
+61 2 9385 7042
Fax:
+61 2 9385 7123
Email:
J.Murray@unsw.edu.au
Mail:
School of Mathematics
and Statistics
The University of New South Wales
UNSW SYDNEY NSW 2052, Australia
Brief
History
BSc (Hons) from University of New South Wales (1976); MSc
from University of New South Wales (1978); PhD from University of Washington
(1984); Lecturer then Senior Lecturer and Associate Professor at the University
of New South Wales (1983-present); Visiting Scientist at Los Alamos National
Laboratory (1999-2000).
Research
Interests
- Biomathematics
- The
complex dynamical system of the immune system, particularly in its
interaction with infectious diseases such as HIV and hepatitis B.
- Epidemiology
of infectious diseases in the community and the effects of interventions.
These include HIV and hepatitis C in injecting drug users, and HIV in
sub-Saharan Africa.
- Optimal
control
- Optimal
scheduling of cancer chemotherapy for this stochastic system.
Presentations at 4th International
AIDS Society Conference, Sydney,
July 2007
John Murray presented results from a clinical trial of the
drug raltegravir belonging to a new class of HIV
antiretroviral drugs, integrase inhibitors at the
recent AIDS conference attended by 6,000 registrants. Patients on this drug had
faster decrease in virus than standard regimens. Using mathematical modelling
Dr Murray was able to describe possible infection processes that could explain
this behaviour. His talk can be found at: http://www.kaisernetwork.org/health_cast/hcast_index.cfm?display=detail&hc=2239
These findings were of considerable interest, being reported
in several news reports, including interviews with New Scientist and Reuters
Health:
http://www.newscientist.com/article/mg19526154.400-new-hiv-treatments-will-fight-growing-drug-resistance.html
http://www.medicalimagingmag.com/reuters_article.asp?id=20070724clin019.html
http://www.aidsmap.com/en/news/E42013C2-570D-4661-AD0F-5DD72E2FC20A.asp
http://www.medpagetoday.com/StateRequiredCME/HIVAIDS/tb/6243
John
Murray’s PhD student Greg Londish reported
results of mathematical modelling work on the effects
of male circumcision on the HIV/AIDS epidemic in Africa.
Recent trials in Africa have discovered that
male circumcision can reduce transmission from infected women by 60%. Serious
consideration is now being given to increasing levels of male circumcision in
sub-Saharan African countries as a way of reducing the HIV/AIDS epidemic. The
webcast of this presentation can be found at:
http://www.kaisernetwork.org/health_cast/hcast_index.cfm?display=detail&hc=2249
These findings were reported at: http://www.aidsmap.com/en/news/174CC90A-5EC0-4E56-AF26-5B164A60353D.asp
Teaching
- MATH1151
Mathematicals for Finance
Graduate
Projects
These can cover a wide array of problems in mathematical
biology, and can usually be tailored to suit the student’s particular
interests and skills. The projects generally involve working on data from, and
collaborating with researchers from, a number of Australian and international
research centres, in particular the National Centre in HIV Epidemiology and
Clinical Research. Students should have a strong undergraduate record in either
a quantitative or biomedical area, with a willingness to learn the other
aspects of this field.
Some specific projects are:
- Optimal
incorporation of information during treatment of cancer.
- Scheduling
changes to HIV antiretroviral therapy for resource poor countries.
- The
dynamics of HIV and hepatitis B virus infections.
General information on postgraduate study is available at
http://www.maths.unsw.edu.au/honpg/future/research/pgfutureresearch.html
Administration
- Member
of the Primary HIV Infection Advisory Committee
Selected
Recent Publications
- Murray, JM, Purcell,
RH, Wieland, SF, The half-life of hepatitis B virions,
Hepatology, 44 (2006), 1117-1121.
- Murray,
JM, Wieland, SF, Purcell, RH, Chisari, FV,
Dynamics of hepatitis B virus clearance in chimpanzees, Proceedings of
the National Academy of Sciences USA, 102 (2005), 17780-17785.
- Murray,
JM, Perelson, AS.
Human immunodeficiency virus: quasi-species and drug resistance. Multiscale Modeling
and Simulation, 3 (2005) 300-311.
- Macpherson,
JL, Boyd, MP, Arndt, AJ, Todd, AV, Fanning GC, Ely, JA, Elliott, F, Knop, A, Raponi, M, Murray,
J, Gerlach, W, Sun, LQ, Penny, R, Symonds, GP,
Carr, A, Cooper, DA. Long-term survival and concomitant gene expression of
ribozyme-transduced CD4+ T lymphocytes. Journal
of Gene Medicine, 7 (2005) 552-564.
- Murray, JM, Kaufmann GR, Hodgkin, PD, Lewin, SR, Kelleher, AD, Davenport, MP, Zaunders,
JJ. Naïve T cells are maintained by thymic output in early ages but by
proliferation without phenotypic change after age twenty. Immunology
and Cell Biology, 81 (2003) 487-495.
- Murray,
JM, Law, MG, Gao, Z, Kaldor, JM, The impact of behavioural changes on the
prevalence of human immunodeficiency virus and hepatitis C among injecting
drug users. International Journal of Epidemiology. 32 (2003),
708-714.
- Murray,
JM. Changing transmission fitness of drug resistant human immunodeficiency
virus against a background of evolving antiretroviral therapy. Journal
of Infectious Diseases. 188 (2003) 1258.
- Murray,
JM, Coldman, AJ. The effect of heterogeneity on
optimal regimens in cancer chemotherapy. Mathematical Biosciences.
185 (2003) 73-87.
- Whalley, SA, Murray,
JM, Brown, D, Webster, GJM, Emery, VC, Dusheiko,
GM, Perelson,
AS. Kinetics of acute
hepatitis B virus infection in humans. The Journal of Experimental
Medicine, 193 (2001) 847-853.
- Kaufmann,
GR, Zaunders, J, Murray, J, Kelleher, AD, Lewin, SR, Solomon, A, Smith, D, Cooper, DA. Relative
significance of different pathways of immune reconstitution in HIV type 1
infection as estimated by mathematical modelling. AIDS Research and
Human Retroviruses, 17 (2001) 147-159.
- Coldman, AJ, Murray, JM. Optimal control for a
stochastic model of cancer chemotherapy. Mathematical Biosciences,
168 (2000) 187-20.
Return to Biomathematics,
School of Mathematics, UNSW.