Dr Xin Liu
Dr

Xin Liu

Email: 
Phone: 
+61 7 344 38031

Background

Dr Liu is a research fellow at Frazer Institute specialising in pharmacometrics, using mathematic models to understand how medicine behave in the model and to support evidence-based dosing decisions. Her research focuses on population pharmacokinetic (popPK) and physiologically-based pharmacokinetic (PBPK) modelling, dose optimisation, and model-informed precision dosing.

Her work combine clinical data, pharmacology, and quantitative mdoelling to better understand variability in drug exposure and response across different patient populations. This helps inform dosing strategies and supports the development of safer and more effective treatments.

She provides pharmacometric support across a range of research projects, designing and applying PopPK/PBPK models to characterise drug disposition and predict treatment outcomes under different dosing scenarios. Through simulation and quantitative analysis, she helps research teams evaluate dosing regimens, understand patient variability, and generate evidence to support clinical and regulatory decision-making.

Availability

Dr Xin Liu is:
Available for supervision

Fields of research

Clinical sciences Pharmacology and pharmaceutical sciences

Qualifications

  • Doctor of Philosophy, National University of Singapore

Search Professor Xin Liu’s works on UQ eSpace

102 works between 2003 and 2026
All (102) Journal Article (85) Conference Publication (13) Book Chapter (4)

41 - 60 of 102 works

2017

Conference Publication

Novel mechanistic imaging biomarkers for early prediction of acetaminophen-induced hepatotoxicity

Liang, X., Wang, H., Liu, X., Touraud, M., Chouane, J. B., Tse, B. and Roberts, M. S. (2017). Novel mechanistic imaging biomarkers for early prediction of acetaminophen-induced hepatotoxicity. Gastroenterological Society of Australia Australian Gastroenterology Week Precision Medicine in Gastroenterology, , Gold Coast, Queensland, Australia, 20–22 Aug 2017. Richmond, VIC Australia: Wiley.

Novel mechanistic imaging biomarkers for early prediction of acetaminophen-induced hepatotoxicity

2017

Conference Publication

Non-invasive assessment of the liver using imaging

Thorling (Thompson), Camilla, Wang, Haolu, Liu, Xin, Liang, Xiaowen, Crawford, Darrell H. G. and Roberts, Michael S. (2017). Non-invasive assessment of the liver using imaging. SPIE BioPhotonics Australasia Conference, Adelaide, SA, Australia, 17 - 19 October 2016. Bellingham, WA, United States: International Society for Optical Engineering. doi: 10.1117/12.2242883

Non-invasive assessment of the liver using imaging

2017

Book Chapter

Related topic: Safety evaluation of nanomaterials

Liang, Xiaowen, Wang, Haolu, Liu, Xin, Grice, Jeffrey, Xu, Zhi Ping and Roberts, Michael S. (2017). Related topic: Safety evaluation of nanomaterials. Skin permeation and disposition of therapeutic and cosmeceutical compounds. (pp. 313-322) edited by Kenji Sugibayashi. Tokyo, Japan: Springer Japan. doi: 10.1007/978-4-431-56526-0_28

Related topic: Safety evaluation of nanomaterials

2017

Conference Publication

Quantitative optical imaging of paracetamol-induced metabolism changes in the liver

Liang, Xiaowen, Wang, Haolu, Liu, Xin and Roberts, Michael (2017). Quantitative optical imaging of paracetamol-induced metabolism changes in the liver. SPIE BioPhotonics Australasia, Adelaide, SA, Australia, 17 - 19 October 2016. Bellingham, WA, United States: International Society for Optical Engineering. doi: 10.1117/12.2242962

Quantitative optical imaging of paracetamol-induced metabolism changes in the liver

2016

Journal Article

Estimating maximal in vitro skin permeation flux from studies using non-sink receptor phase conditions

Yousef, Shereen, Liu, Xin, Mostafa, Ahmed, Mohammed, Yousuf, Grice, Jeffrey E., Anissimov, Yuri G., Sakran, Wedad and Roberts, Michael S. (2016). Estimating maximal in vitro skin permeation flux from studies using non-sink receptor phase conditions. Pharmaceutical Research, 33 (9), 2180-2194. doi: 10.1007/s11095-016-1955-8

Estimating maximal in vitro skin permeation flux from studies using non-sink receptor phase conditions

2016

Journal Article

Visualizing liver anatomy, physiology and pharmacology using multiphoton microscopy

Wang, Haolu, Liang, Xiaowen, Gravot, Germain, Thorling, Camilla A., Crawford, Darrell H. G., Xu, Zhi Ping, Liu, Xin and Roberts, Michael S. (2016). Visualizing liver anatomy, physiology and pharmacology using multiphoton microscopy. Journal of Biophotonics, 10 (1), 46-60. doi: 10.1002/jbio.201600083

Visualizing liver anatomy, physiology and pharmacology using multiphoton microscopy

2016

Journal Article

A physiologically based kinetic model for elucidating the in vivo distribution of administered mesenchymal stem cells

Wang, Haolu, Liang, Xiaowen, Xu, Zhi Ping, Crawford, Darrell H. G, Liu, Xin and Roberts, Michael S. (2016). A physiologically based kinetic model for elucidating the in vivo distribution of administered mesenchymal stem cells. Scientific Reports, 6 (1) 22293, e22293.1-e22293.12. doi: 10.1038/srep22293

A physiologically based kinetic model for elucidating the in vivo distribution of administered mesenchymal stem cells

2016

Journal Article

Physiologically based pharmacokinetic model for long-circulating inorganic nanoparticles

Liang, Xiaowen, Wang, Haolu, Grice, Jeffrey E., Li, Li, Liu, Xin, Xu, Zhi Ping and Roberts, Michael S. (2016). Physiologically based pharmacokinetic model for long-circulating inorganic nanoparticles. Nano Letters, 16 (2), 939-945. doi: 10.1021/acs.nanolett.5b03854

Physiologically based pharmacokinetic model for long-circulating inorganic nanoparticles

2016

Journal Article

Short- and long-term tracking of anionic ultrasmall nanoparticles in kidney

Liang, Xiaowen, Wang, Haolu, Zhu, Yian, Zhang, Run, Cogger, Victoria C., Liu, Xin, Xu, Zhi Ping, Grice, Jeffrey E. and Roberts, Michael S. (2016). Short- and long-term tracking of anionic ultrasmall nanoparticles in kidney. Acs Nano, 10 (1), 387-395. doi: 10.1021/acsnano.5b05066

Short- and long-term tracking of anionic ultrasmall nanoparticles in kidney

2015

Journal Article

Clinicopathological characteristics of gynecological cancer associated with hypoxia-inducible factor 1α expression: a meta-analysis including 6,612 subjects

Jin, Yue, Wang, Haolu, Ma, Xiaowei, Liang, Xiaowen, Liu, Xin and Wang, Yu (2015). Clinicopathological characteristics of gynecological cancer associated with hypoxia-inducible factor 1α expression: a meta-analysis including 6,612 subjects. PLoS ONE, 10 (5) e0127229, e0127229. doi: 10.1371/journal.pone.0127229

Clinicopathological characteristics of gynecological cancer associated with hypoxia-inducible factor 1α expression: a meta-analysis including 6,612 subjects

2015

Journal Article

Using deconvolution to understand the mechanism for variable plasma concentration-time profiles after intramuscular injection

Mahmood, Adnan H., Liu, Xin, Grice, Jeffrey E., Medley, Gregory A. and Roberts, Michael S. (2015). Using deconvolution to understand the mechanism for variable plasma concentration-time profiles after intramuscular injection. International Journal of Pharmaceutics, 481 (1-2), 71-78. doi: 10.1016/j.ijpharm.2015.01.046

Using deconvolution to understand the mechanism for variable plasma concentration-time profiles after intramuscular injection

2015

Journal Article

A multicenter study on the effect of continuous hemodiafiltration intensity on antibiotic pharmacokinetics

Roberts, Darren M, Liu, Xin, Roberts, Jason A, Nair, Priya, Cole, Louise, Roberts, Michael S, Lipman, Jeffrey, Bellomo, Rinaldo and RENAL Replacement Therapy Study Investigators (2015). A multicenter study on the effect of continuous hemodiafiltration intensity on antibiotic pharmacokinetics. Critical Care, 19 (84) 84, 84. doi: 10.1186/s13054-015-0818-8

A multicenter study on the effect of continuous hemodiafiltration intensity on antibiotic pharmacokinetics

2015

Journal Article

Real-time histology in liver disease using multiphoton microscopy with fluorescence lifetime imaging

Wang, Haolu, Liang, Xiaowen, Mohammed, Yousuf H., Thomas, James A., Bridle, Kim R., Thorling, Camilla A., Grice, Jeffrey E., Xu, Zhi Ping, Liu, Xin, Crawford, Darrell H. G. and Roberts, Michael S. (2015). Real-time histology in liver disease using multiphoton microscopy with fluorescence lifetime imaging. Biomedical Optics Express, 6 (3), 780-792. doi: 10.1364/BOE.6.000780

Real-time histology in liver disease using multiphoton microscopy with fluorescence lifetime imaging

2015

Journal Article

Diagnostic imaging and therapeutic application of nanoparticles targeting the liver

Wang, Haolu, Thorling, Camilla A., Liang, Xiaowen, Bridle, Kim R., Grice, Jeffrey E., Zhu, Yian, Crawford, Darrell H. G., Xu, Zhi Ping, Liu, Xin and Roberts, Michael S. (2015). Diagnostic imaging and therapeutic application of nanoparticles targeting the liver. Journal of Materials Chemistry B, 3 (6), 939-958. doi: 10.1039/C4TB01611D

Diagnostic imaging and therapeutic application of nanoparticles targeting the liver

2015

Conference Publication

Early diagnosis of hepatocellular carcinoma by in vivo imaging

Liang, X., Wang, H., Zhu, Y., Grice, J., Liu, X., Xu, Z. and Roberts, M. (2015). Early diagnosis of hepatocellular carcinoma by in vivo imaging. European Cancer Congress, Vienna, Austria, 2015. Oxford, United Kingdom: Elsevier. doi: 10.1016/S0959-8049(16)30378-1

Early diagnosis of hepatocellular carcinoma by in vivo imaging

2015

Conference Publication

A physiologically based kinetic model to characterize and predict the biological fate of circulating tumor cells in vivo

Wang, H., Liang, X., Thorling, C., Xu, Z. P., Crawford, D., Liu, X. and Roberts, M. (2015). A physiologically based kinetic model to characterize and predict the biological fate of circulating tumor cells in vivo. European Cancer Congress, Vienna, Austria, 2015. Hoboken, NJ United States: Wiley. doi: 10.1016/S0959-8049(15)30013-7

A physiologically based kinetic model to characterize and predict the biological fate of circulating tumor cells in vivo

2015

Journal Article

Assessing steatotic liver function after ischemia-reperfusion injury by in vivo multiphoton imaging of fluorescein disposition

Thorling C.A., Jin L., Weiss M., Crawford D., Liu X., Burczynski F.J., Liu D., Wang H. and Roberts M.S. (2015). Assessing steatotic liver function after ischemia-reperfusion injury by in vivo multiphoton imaging of fluorescein disposition. Drug Metabolism and Disposition, 43 (1), 154-162. doi: 10.1124/dmd.114.060848

Assessing steatotic liver function after ischemia-reperfusion injury by in vivo multiphoton imaging of fluorescein disposition

2015

Conference Publication

A blood-flow limited physiologically based kinetic model to characterize and predict the biological fate of mesenchymal stem cells in vivo

Wang, H., Liang, X., Endo-Munoz, L., Weijs, L., Liu, X., Crawford, D. and Roberts, M. (2015). A blood-flow limited physiologically based kinetic model to characterize and predict the biological fate of mesenchymal stem cells in vivo. Gastro 2015 GESA‐AGW And WGO International Congress, Gastroenterological Society Of Australia Australian Gastroenterology Week 2015 - World Congress Of Gastroenterology, , Brisbane, Queensland, Australia, 28 September‐2 October 2015. Richmond, VIC Australia: Wiley.

A blood-flow limited physiologically based kinetic model to characterize and predict the biological fate of mesenchymal stem cells in vivo

2014

Journal Article

Using skin for drug delivery and diagnosis in the critically ill

Liu, Xin, Kruger, Peter, Maibach, Howard, Colditz, Paul B. and Roberts, Michael S. (2014). Using skin for drug delivery and diagnosis in the critically ill. Advanced Drug Delivery Reviews, 77, 40-49. doi: 10.1016/j.addr.2014.10.004

Using skin for drug delivery and diagnosis in the critically ill

2014

Journal Article

Prediction of paraquat exposure and toxicity in clinically ill poisoned patients: a model based approach

Wunnapuk, Klintean, Mohammed, Fahim, Gawarammana, Indika, Liu, Xin, Verbeeck, Roger K., Buckley, Nicholas A., Roberts, Michael S. and Musuamba, Flora T. (2014). Prediction of paraquat exposure and toxicity in clinically ill poisoned patients: a model based approach. British Journal of Clinical Pharmacology, 78 (4), 855-866. doi: 10.1111/bcp.12389

Prediction of paraquat exposure and toxicity in clinically ill poisoned patients: a model based approach

Past funding

  • 2025 - 2026
    Quality Medication Care Research UQ Centre for Clinical Research
    Quality Medication Care Pty Ltd
    Open grant
  • 2021
    A novel CD14-targeting approach for the treatment of primary sclerosing cholangitis
    Ferguson Foundation (Reginald Ferguson)
    Open grant
  • 2020 - 2021
    Mechanistic and comparative toxicity of commercial essential oils
    Agrifutures Australia
    Open grant
  • 2018 - 2021
    Formulation drug product quality attributes in dermal physiologically-based pharmacokinetic models for topical dermatological drug products and transdermal delivery systems
    United States Food and Drug Administration
    Open grant
  • 2018 - 2021
    Improving oesophageal adenocarcinoma outcomes through understanding genomics and treatment toxicity (NHMRC Project Grant led by The Council of the Queensland Institute of Medical Research)
    Queensland Institute of Medical Research
    Open grant
  • 2017 - 2018
    Dr Xin Liu - Maternity Funding (Advance Queensland Women's Academic Fund)
    Queensland Government Advance Queensland Women's Academic Fund
    Open grant
  • 2017 - 2018
    Optimising the N-acetylcysteine dose regimen for managing paracetamol overdose using mechanistic biomarkers (TACT Pilot Grant awarded under NHMRC Program Grant APP1055176 administered by Uni Sydney)
    University of Sydney
    Open grant
  • 2017 - 2021
    Physiologically-based pharmacokinetics and pharmacodynamics of therapeutic stem cells for liver disease
    NHMRC Project Grant
    Open grant
  • 2016 - 2017
    Optimizing the Treatment of Paracetamol Toxicity by Mechanistic Modelling Based on Advanced Imaging - Toxicology (TACT Pilot grant awarded under NHMRC Program grant APP1055176 admin by Uni of Syd)
    University of Sydney
    Open grant

Availability

Dr Xin Liu is:
Available for supervision

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Supervision history

Current supervision

Completed supervision

Enquiries

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