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Associate Professor Sally Shrapnel
Associate Professor

Sally Shrapnel

Email: 
Phone: 
+61 7 336 56931

Overview

Background

Dr Sally Shrapnel is an internationally recognised interdisciplinary scientist whose research spans quantum physics, artificial intelligence, digital medicine, and philosophy. With a unique career trajectory bridging clinical medicine and cutting-edge quantum technologies, Dr Shrapnel is committed to solving foundational and applied problems that cross traditional disciplinary boundaries.

A registered medical practitioner and Fellow of the Royal Australian College of General Practitioners, she brings over two decades of clinical experience in Tasmania, Queensland, and the UK. After earning an MSc in Bioengineering from Imperial College London, she pursued a PhD in Quantum Artificial Intelligence—focusing on quantum causal inference—which launched her second career as a quantum physicist.

Currently, Dr Shrapnel is Associate Professor of Physics at The University of Queensland and Deputy Director of the ARC Centre of Excellence for Engineered Quantum Systems (EQUS). Her research addresses two fundamental questions:

  • What does quantum theory reveal about the nature of reality?
  • Can quantum resources be harnessed to design faster, more efficient AI algorithms?

These inquiries drive her leading contributions in Quantum Foundations and Quantum Machine Learning, where she develops novel theoretical frameworks and algorithms that aim to unlock the quantum advantage in emerging technologies. As Program Lead for Quantum Technologies for Health at the Queensland Digital Health Centre, Dr Shrapnel is also preparing the state’s healthcare ecosystem for the next technological revolution—bringing quantum tools into real-world applications in health and medicine.

A passionate advocate for interdisciplinary research, Dr Shrapnel continues to publish widely across quantum physics, computer science, digital health, and the philosophy of science. Her work exemplifies the power of rigorous, cross-disciplinary thinking to address some of the most profound and practical challenges of our time.

Availability

Associate Professor Sally Shrapnel is:
Available for supervision

Qualifications

  • Bachelor of Medical Science, The University of Queensland
  • Bachelor of Medicine and Surgery and Medical Science, The University of Queensland
  • Masters (Coursework) of Science, Imperial College
  • Doctor of Philosophy, The University of Queensland

Works

Search Professor Sally Shrapnel’s works on UQ eSpace

69 works between 2014 and 2025

41 - 60 of 69 works

2022

Journal Article

Use of an extended KDIGO definition to diagnose acute kidney injury in patients with COVID-19: a multinational study using the ISARIC–WHO clinical characterisation protocol

Wainstein, Marina, MacDonald, Samual, Fryer, Daniel, Young, Kyle, Balan, Valeria, Begum, Husna, Burrell, Aidan, Citarella, Barbara Wanjiru, Cobb, J. Perren, Kelly, Sadie, Kennon, Kalynn, Lee, James, Merson, Laura, Murthy, Srinivas, Nichol, Alistair, Semple, Malcolm G., Strudwick, Samantha, Webb, Steven A., Rossignol, Patrick, Claure-Del Granado, Rolando, Shrapnel, Sally and the ISARIC Clinical Characterisation Group (2022). Use of an extended KDIGO definition to diagnose acute kidney injury in patients with COVID-19: a multinational study using the ISARIC–WHO clinical characterisation protocol. PLoS Medicine, 19 (4) e1003969, e1003969. doi: 10.1371/journal.pmed.1003969

Use of an extended KDIGO definition to diagnose acute kidney injury in patients with COVID-19: a multinational study using the ISARIC–WHO clinical characterisation protocol

2022

Journal Article

Entropy production and fluctuation theorems in a continuously monitored optical cavity at zero temperature

Kewming, Michael J. and Shrapnel, Sally (2022). Entropy production and fluctuation theorems in a continuously monitored optical cavity at zero temperature. Quantum, 6 685, 685. doi: 10.22331/q-2022-04-13-685

Entropy production and fluctuation theorems in a continuously monitored optical cavity at zero temperature

2022

Journal Article

Toward a learning health care system: a systematic review and evidence-based conceptual framework for implementation of clinical analytics in a digital hospital

Lim, Han Chang, Austin, Jodie A., van der Vegt, Anton H., Rahimi, Amir Kamel, Canfell, Oliver J., Mifsud, Jayden, Pole, Jason D., Barras, Michael A., Hodgson, Tobias, Shrapnel, Sally and Sullivan, Clair M. (2022). Toward a learning health care system: a systematic review and evidence-based conceptual framework for implementation of clinical analytics in a digital hospital. Applied Clinical Informatics, 13 (02), 339-354. doi: 10.1055/s-0042-1743243

Toward a learning health care system: a systematic review and evidence-based conceptual framework for implementation of clinical analytics in a digital hospital

2022

Journal Article

Clinical characteristics, risk factors and outcomes in patients with severe COVID-19 registered in the International Severe Acute Respiratory and Emerging Infection Consortium WHO clinical characterisation protocol: a prospective, multinational, multicentre, observational study

Reyes, Luis Felipe, Murthy, Srinivas, Garcia-Gallo, Esteban, Irvine, Mike, Merson, Laura, Martin-Loeches, Ignacio, Rello, Jordi, Taccone, Fabio S, Fowler, Robert A, Docherty, Annemarie B, Kartsonaki, Christiana, Aragao, Irene, Barrett, Peter W, Beane, Abigail, Burrell, Aidan, Cheng, Matthew Pellan, Christian, Michael D, Cidade, Jose Pedro, Citarella, Barbara Wanjiru, Donnelly, Christl A, Fernandes, Susana M, French, Craig, Haniffa, Rashan, Harrison, Ewen M, Ho, Antonia Ying Wai, Joseph, Mark, Khan, Irfan, Kho, Michelle E, Kildal, Anders Benjamin ... Olliaro, Piero L (2022). Clinical characteristics, risk factors and outcomes in patients with severe COVID-19 registered in the International Severe Acute Respiratory and Emerging Infection Consortium WHO clinical characterisation protocol: a prospective, multinational, multicentre, observational study. ERJ Open Research, 8 (1) 00552-2021, 00552-2021. doi: 10.1183/23120541.00552-2021

Clinical characteristics, risk factors and outcomes in patients with severe COVID-19 registered in the International Severe Acute Respiratory and Emerging Infection Consortium WHO clinical characterisation protocol: a prospective, multinational, multicentre, observational study

2022

Conference Publication

Explainable deep learning for medical imaging models through class specific semantic dictionaries

Layton, Harrison, Shrapnel, Sally and Bialkowski, Alina (2022). Explainable deep learning for medical imaging models through class specific semantic dictionaries. International Conference on Digital Image Computing: Techniques and Applications (DICTA), Sydney, NSW, Australia, 30 November 2022 - 02 December 2022. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/DICTA56598.2022.10034639

Explainable deep learning for medical imaging models through class specific semantic dictionaries

2021

Journal Article

The value of open-source clinical science in pandemic response: lessons from ISARIC

Abbas, Ali, Abdukahil, Sheryl Ann, Abdulkadir, Nurul Najmee, Abe, Ryuzo, Abel, Laurent, Absil, Lara, Acharya, Subhash, Acker, Andrew, Adachi, Shingo, Adam, Elisabeth, Adrião, Diana, Ageel, Saleh Al, Ahmed, Shakeel, Ain, Quratul, Ainscough, Kate, Aisa, Tharwat, Ait Hssain, Ali, Ait Tamlihat, Younes, Akimoto, Takako, Akmal, Ernita, Al Qasim, Eman, Alalqam, Razi, Alam, Tanvir, Al-dabbous, Tala, Alegesan, Senthilkumar, Alegre, Cynthia, Alessi, Marta, Alex, Beatrice, Alexandre, Kévin ... ISARIC Clinical Characterisation Group (2021). The value of open-source clinical science in pandemic response: lessons from ISARIC. The Lancet Infectious Diseases, 21 (12), 1623-1624. doi: 10.1016/S1473-3099(21)00565-X

The value of open-source clinical science in pandemic response: lessons from ISARIC

2021

Journal Article

Ten months of temporal variation in the clinical journey of hospitalised patients with COVID-19: An observational cohort

ISARIC Clinical Characterisation Group, Hall, Matthew D., Baruch, Joaquín, Carson, Gail, Citarella, Barbara Wanjiru, Dagens, Andrew, Dankwa, Emmanuelle A., Donnelly, Christl A., Dunning, Jake, Escher, Martina, Kartsonaki, Christiana, Merson, Laura, Pritchard, Mark, Wei, Jia, Horby, Peter W., Rojek, Amanda, Olliaro, Piero L., Li Bassi, Gianluigi, Shrapnel, Sally, Suen, Jacky and Forsyth, Simon J. (2021). Ten months of temporal variation in the clinical journey of hospitalised patients with COVID-19: An observational cohort. eLife, 10 e70970, 1-30. doi: 10.7554/elife.70970

Ten months of temporal variation in the clinical journey of hospitalised patients with COVID-19: An observational cohort

2021

Journal Article

Assessment of 28-day in-hospital mortality in mechanically ventilated patients with coronavirus disease 2019: an international cohort study

Li Bassi, Gianluigi, Suen, Jacky Y., White, Nicole, Dalton, Heidi J., Fanning, Jonathon, Corley, Amanda, Shrapnel, Sally, Hinton, Samuel, Forsyth, Simon, Parsons, Rex, Laffey, John G., Fan, Eddy, Bartlett, Robert, Brodie, Daniel, Burrell, Aidan, Chiumello, Davide, Elhazmi, Alyaa, Grasselli, Giacomo, Hodgson, Carol, Ichiba, Shingo, Luna, Carlos, Marwali, Eva, Merson, Laura, Murthy, Srinivas, Nichol, Alistair, Panigada, Mauro, Pelosi, Paolo, Torres, Antoni, Ng, Pauline Yeung ... Obonyo, Nchafatso (2021). Assessment of 28-day in-hospital mortality in mechanically ventilated patients with coronavirus disease 2019: an international cohort study. Critical Care Explorations, 3 (11) e0567, e0567. doi: 10.1097/cce.0000000000000567

Assessment of 28-day in-hospital mortality in mechanically ventilated patients with coronavirus disease 2019: an international cohort study

2021

Conference Publication

An appraisal of respiratory system compliance in mechanically ventilated COVID-19 patients

Li Bassi, Gianluigi, Suen, Jacky, Dalton, Heidi J., White, Nicole, Sato, Kei, Shrapnel, Sally, Fanning, Jonathon P., Liquet, Benoit, Hinton, Samuel, Vuorinem, Aapeli, Booth, Gareth, Millar, Jonathan E., Forsyth, Simon, Panigada, Mauro, Laffey, John, Brodie, Daniel, Fan, Eddy, Torres, Antoni, Chiumello, Davide, Corley, Amanda, Elhazmi, Alyaa, Hodgson, Carol, Ichiba, Shingo, Luna, Carlos, Murthy, Srinivas, Nichol, Alistair, Yeung, Pauline, Ogino, Mark, Pesenti, Antonio ... Fraser, John F. (2021). An appraisal of respiratory system compliance in mechanically ventilated COVID-19 patients. European-Respiratory-Society (ERS) International Congress, Thessaloniki Greece, Sep 26-30, 2021. SHEFFIELD: EUROPEAN RESPIRATORY SOC JOURNALS LTD. doi: 10.1183/13993003.congress-2021.PA3318

An appraisal of respiratory system compliance in mechanically ventilated COVID-19 patients

2021

Journal Article

Experimental characterization of a non-Markovian quantum process

Goswami, K., Giarmatzi, C., Monterola, C., Shrapnel, S., Romero, J. and Costa, F. (2021). Experimental characterization of a non-Markovian quantum process. Physical Review A, 104 (2) 022432. doi: 10.1103/physreva.104.022432

Experimental characterization of a non-Markovian quantum process

2021

Journal Article

COVID-19 symptoms at hospital admission vary with age and sex: results from the ISARIC prospective multinational observational study

ISARIC Clinical Characterisation Group, Li Bassi, Gianluigi, Scarsbrook, Joshua, Shrapnel, Sally, Suen, Jacky and Forsyth, Simon J. (2021). COVID-19 symptoms at hospital admission vary with age and sex: results from the ISARIC prospective multinational observational study. Infection, 49 (5), 889-905. doi: 10.1007/s15010-021-01599-5

COVID-19 symptoms at hospital admission vary with age and sex: results from the ISARIC prospective multinational observational study

2021

Journal Article

An appraisal of respiratory system compliance in mechanically ventilated covid-19 patients

Li Bassi, Gianluigi, Suen, Jacky Y, Dalton, Heidi J, White, Nicole, Shrapnel, Sally, Fanning, Jonathon P, Liquet, Benoit, Hinton, Samuel, Vuorinen, Aapeli, Booth, Gareth, Millar, Jonathan E, Forsyth, Simon, Panigada, Mauro, Laffey, John, Brodie, Daniel, Fan, Eddy, Torres, Antoni, Chiumello, Davide, Corley, Amanda, Elhazmi, Alyaa, Hodgson, Carol, Ichiba, Shingo, Luna, Carlos, Murthy, Srinivas, Nichol, Alistair, Ng, Pauline Yeung, Ogino, Mark, Pesenti, Antonio, Trieu, Huynh Trung ... Obonyo, Gikenyi N. (2021). An appraisal of respiratory system compliance in mechanically ventilated covid-19 patients. Critical Care, 25 (1) 199, 1-22. doi: 10.1186/s13054-021-03518-4

An appraisal of respiratory system compliance in mechanically ventilated covid-19 patients

2021

Journal Article

International Society of Nephrology Global Kidney Health Atlas: structures, organization, and services for the management of kidney failure in Latin America

Wainstein, Marina, Bello, Aminu K., Jha, Vivekanand, Harris, David C.H., Levin, Adeera, Gonzalez-Bedat, Maria C., Rosa-Diez, Guillermo J., Ferreiro Fuentes, Alejandro, Sola, Laura, Pecoits-Filho, Roberto, Claure-Del Granado, Rolando, Madero, Magdalena, Osman, Mohamed A., Saad, Syed, Zaidi, Deenaz, Lunney, Meaghan, Ye, Feng, Katz, Ivor J., Khan, Maryam, Shrapnel, Sally, Tonelli, Marcello, Okpechi, Ikechi G. and Johnson, David W. (2021). International Society of Nephrology Global Kidney Health Atlas: structures, organization, and services for the management of kidney failure in Latin America. Kidney International Supplements, 11 (2), e35-e46. doi: 10.1016/j.kisu.2021.01.005

International Society of Nephrology Global Kidney Health Atlas: structures, organization, and services for the management of kidney failure in Latin America

2021

Journal Article

Designing a physical quantum agent

Kewming, M. J., Shrapnel, S. and Milburn, G. J. (2021). Designing a physical quantum agent. Physical Review A, 103 (3) 032411, 1-7. doi: 10.1103/physreva.103.032411

Designing a physical quantum agent

2021

Journal Article

Intensive care digital health response to emerging infectious disease outbreaks such as COVID-19

Kirrane, Marianne D., Shrapnel, Sally, Ramanan, Mahesh, Clement, Pierre, Fraser, John F., Laupland, Kevin B., Sullivan, Clair M. and Shekar, Kiran (2021). Intensive care digital health response to emerging infectious disease outbreaks such as COVID-19. Anaesthesia and Intensive Care, 49 (2), 0310057X2097577-111. doi: 10.1177/0310057x20975777

Intensive care digital health response to emerging infectious disease outbreaks such as COVID-19

2021

Journal Article

Machine learning and chronic kidney disease risk prediction

Wainstein, Marina, Shrapnel, Sally, Clark, Chevon Lee, Hoy, Wendy, Healy, Helen and Katz, Ivor (2021). Machine learning and chronic kidney disease risk prediction. African Journal of Nephrology, 24 (1), 58-67. doi: 10.21804/24-1-4748

Machine learning and chronic kidney disease risk prediction

2020

Journal Article

Design and rationale of the COVID-19 Critical Care Consortium international, multicentre, observational study

Bassi, Gianluigi Li, Suen, Jacky, Barnett, Adrian Gerard, Corley, Amanda, Millar, Jonathan, Fanning, Jonathon, Lye, India, Colombo, Sebastiano, Wildi, Karin, Livingstone, Samantha, Abbate, Gabriella, Hinton, Samuel, Liquet, Benoit, Shrapnel, Sally, Dalton, Heidi and Fraser, John F. (2020). Design and rationale of the COVID-19 Critical Care Consortium international, multicentre, observational study. BMJ Open, 10 (12) e041417, 1-6. doi: 10.1136/bmjopen-2020-041417

Design and rationale of the COVID-19 Critical Care Consortium international, multicentre, observational study

2020

Journal Article

Hiding ignorance using high dimensions

Kewming, M. J., Shrapnel, S., White, A. G. and Romero, J. (2020). Hiding ignorance using high dimensions. Physical Review Letters, 124 (25) 250401, 250401. doi: 10.1103/physrevlett.124.250401

Hiding ignorance using high dimensions

2020

Journal Article

Quantum correlations in the Kerr Ising model

Kewming, Michael, Shrapnel, Sally and Milburn, Gerard (2020). Quantum correlations in the Kerr Ising model. New Journal of Physics, 22 (5) 053042, 053042. doi: 10.1088/1367-2630/ab7255

Quantum correlations in the Kerr Ising model

2019

Conference Publication

Ignorance of the whole does not imply ignorance of the parts: qudit random access codes in spatial modes of light

Kewming, Michael J., Shrapnel, Sally, White, Andrew G. and Romero, Jacquiline (2019). Ignorance of the whole does not imply ignorance of the parts: qudit random access codes in spatial modes of light. Quantum Information and Measurement, QIM 2019, Rome, Italy, 4 - 6 April 2019. Washington, DC, United States: The Optical Society. doi: 10.1364/QIM.2019.F5A.78

Ignorance of the whole does not imply ignorance of the parts: qudit random access codes in spatial modes of light

Funding

Current funding

  • 2025 - 2027
    Operationally robust quantum machine learning for digital health
    Quantum and Advanced Technologies Co-Investment Program
    Open grant
  • 2025 - 2028
    The View From Somewhere: embodied agents and the quantum perspective
    ARC Discovery Projects
    Open grant

Past funding

  • 2022 - 2023
    SMART Project - Towards Systematic Maturation of Analytics and System Redesign to Transform (SMART) Healthcare and Public Health Research
    Queensland Health
    Open grant
  • 2021 - 2023
    Machine learning prediction of Acute Kidney Injury in hospitalised patients with COVID-19
    Digital Health CRC
    Open grant
  • 2021 - 2022
    Causal Bayesian Networks for COVID
    Monash University
    Open grant
  • 2020 - 2025
    Enhanced data extraction and modelling from electronic medical records and phenotyping for clinical care, and research: Case studies in management of medication stewardship
    Digital Health CRC
    Open grant
  • 2020 - 2024
    Information as fuel for a quantum clock (Foundational Questions Institute grant administered by TUQIA)
    Foundational Questions Institute
    Open grant
  • 2019 - 2021
    'Are Quantum agents possible?' by Silicon Valley Community Foundation
    The University of Queensland in America, Inc
    Open grant
  • 2018 - 2025
    ARC Centre of Excellence for Engineered Quantum Systems (EQuS2)
    ARC Centres of Excellence
    Open grant

Supervision

Availability

Associate Professor Sally Shrapnel is:
Available for supervision

Looking for a supervisor? Read our advice on how to choose a supervisor.

Supervision history

Current supervision

  • Doctor Philosophy

    Characterising the impact of noise in quantum machine learning.

    Principal Advisor

    Other advisors: Dr Riddhi Gupta

  • Doctor Philosophy

    Digital Health Methods for Evaluating Chronic Organ Injuries Resulting from Infectious Epidemics: Acute Kidney Injury post COVID-19 Omicron Surge as an Exemplar

    Associate Advisor

    Other advisors: Professor Jason Pole

  • Doctor Philosophy

    Predicting adverse diabetes events in hospitals using machine learning

    Associate Advisor

    Other advisors: Mr Anton Van Der Vegt, Professor Jason Pole

  • Doctor Philosophy

    Perspectives on the de Broglie-Bohm interpretation

    Associate Advisor

    Other advisors: Professor Timothy Ralph, Dr Peter Evans

Completed supervision

Media

Enquiries

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