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I am a drug and alcohol researcher with the University of Sydney Medical School, working at the Langton Centre, a drug and alcohol treatment and research centre in Surry Hills. I was also recently appointed as statistical consultant for the Drug and Alcohol Clinical Research Improvement Network (DACRIN).
The cost of addiction is enormous, for the individuals who suffer from it, their families, and society in general. I am committed to helping find new ways to treat addiction so that sufferers and their families can get closer to a normal, happy life. I have only just started on my research career but have already found the process of investigating addiction immensely rewarding, both the analytical side and the human side
During my PhD I cut my teeth testing caffeine withdrawal in heavy coffee drinkers. My thesis examined the ways that beliefs about how much of a drug we have in our body affect our perceptions of withdrawal symptoms via the placebo and nocebo effect. I found that when heavy coffee drinkers know their daily dose of caffeine has gone down it makes their withdrawal symptoms worse than if they are unaware it has gone down. I hope one day soon to test whether these findings can be used to tailor interventions to help treat people seeking drug and alcohol treatment.
Aside from addiction I have a deep and abiding interest in applied statistics and endeavour to stay on top of the newest statistical techniques that allow us to analyse the complexities of human behaviour in more nuanced and more ethical ways, such as mixed-effects models, Bayesian statistics and machine learning.
The cost of addiction is enormous, for the individuals who suffer from it, their families, and society in general. I am committed to helping find new ways to treat addiction so that sufferers and their families can get closer to a normal, happy life. I have only just started on my research career but have already found the process of investigating addiction immensely rewarding, both the analytical side and the human side
During my PhD I cut my teeth testing caffeine withdrawal in heavy coffee drinkers. My thesis examined the ways that beliefs about how much of a drug we have in our body affect our perceptions of withdrawal symptoms via the placebo and nocebo effect. I found that when heavy coffee drinkers know their daily dose of caffeine has gone down it makes their withdrawal symptoms worse than if they are unaware it has gone down. I hope one day soon to test whether these findings can be used to tailor interventions to help treat people seeking drug and alcohol treatment.
Aside from addiction I have a deep and abiding interest in applied statistics and endeavour to stay on top of the newest statistical techniques that allow us to analyse the complexities of human behaviour in more nuanced and more ethical ways, such as mixed-effects models, Bayesian statistics and machine learning.
研究兴趣
论文共 68 篇作者统计合作学者相似作者
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PLOS ONEno. 2 (2024): e0297092-e0297092
Laila Parvaresh,Llewellyn Mills,Adrian J. Dunlop,Nazila Jamshidi, Marguerite Tracy, Kate Baker,Christopher Tremonti,Nicholas Lintzeris
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Journal of psychopharmacology (Oxford, England)no. 2 (2023): 181-191
Nicholas Lintzeris,Anjali Bhardwaj,Dan I. Lubman,Michael Doyle,Adrian J. Dunlop,Llewellyn Mills,Mary E. Harrod,Shalini Arunogiri, Peter Malouf,Paul S. Haber, Tomp. Freeman,Mark E. Montebello,
DRUG AND ALCOHOL REVIEW (2023): S109-S109
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DRUG AND ALCOHOL REVIEW (2023): S110-S110
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Addiction (Abingdon, England) (2023)
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