Skip to menu Skip to content Skip to footer
Associate Professor Sally Shrapnel
Associate Professor

Sally Shrapnel

Email: 
Phone: 
+61 7 336 56931

Overview

Background

Associate Professor Sally Shrapnel is an internationally recognised theoretical physicist whose research lies at the intersection of quantum physics, artificial intelligence, digital health and philosophy of science. Her work seeks to answer a single overarching question: how can we understand and model causation, from the quantum world to complex healthcare systems?

Originally trained as a medical practitioner, Sally worked clinically for more than twenty years in Australia and the United Kingdom before undertaking a PhD in quantum artificial intelligence at The University of Queensland. This unusual combination of clinical medicine, mathematics and theoretical physics now underpins an interdisciplinary research program that connects fundamental science with real-world applications.

Sally is internationally recognised for pioneering Quantum Causal Modelling, the first mathematical framework for representing and discovering causal relationships between quantum systems. Her work has helped establish quantum causality as an internationally active research field, with contributions spanning quantum foundations, quantum information theory and the philosophy of science. She is also developing new quantum algorithms for machine learning and causal inference, with the aim of enabling future quantum computers to solve problems beyond the reach of classical approaches.

Alongside her fundamental research, Sally leads a program developing Quantum Technologies for Digital Health at the Queensland Digital Health Centre. Working with Queensland Health, IBM Quantum and international collaborators, her group investigates how advances in quantum computing, optimisation and artificial intelligence can improve healthcare delivery, patient flow and clinical decision-making. This research reflects her long-standing commitment to translating fundamental discoveries into technologies that deliver public benefit.

Sally has held senior leadership roles across Australia's quantum ecosystem, including Deputy Director of the ARC Centre of Excellence for Engineered Quantum Systems (EQUS), where she helped shape national research strategy, governance and researcher development. She also contributes to international policy, research governance and data stewardship through leadership roles spanning quantum technologies, artificial intelligence and global health.

Her research has been recognised through invited keynote lectures, highly cited publications, international collaborations and leadership of major interdisciplinary research initiatives. She is particularly interested in building intellectual bridges between disciplines and mentoring researchers who combine deep technical expertise with a willingness to tackle important real-world problems.

Beyond research, Sally is passionate about educating the next generation of scientists, engineers and healthcare professionals. She leads the development of AI and digital health education at UQ and is committed to ensuring that emerging technologies are adopted responsibly, ethically and for the public good.

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

68 works between 2014 and 2026

1 - 20 of 68 works

2026

Journal Article

Temporal trends of acute kidney injury prevalence and mortality throughout COVID-19: a systematic review and meta-analysis

Dai, Danyang, Franca Gois, Pedro, Simpson, Digby, Hedfi, Souhayel, Shrapnel, Sally and D. Pole, Jason (2026). Temporal trends of acute kidney injury prevalence and mortality throughout COVID-19: a systematic review and meta-analysis. Critical Public Health, 36 (1) 2700843, 1. doi: 10.1080/09581596.2026.2700843

Temporal trends of acute kidney injury prevalence and mortality throughout COVID-19: a systematic review and meta-analysis

2026

Journal Article

Exploiting biased noise in variational quantum models

van Rossum, Connor, Shrapnel, Sally and Gupta, Riddhi (2026). Exploiting biased noise in variational quantum models. Quantum Science and Technology, 11 (2) 025047, 025047-2. doi: 10.1088/2058-9565/ae636a

Exploiting biased noise in variational quantum models

2025

Journal Article

Omicron surge impact on acute kidney injury in ICU patients: a study using the ISARIC COVID-19 database

Dai, Danyang, Gois, Pedro Franca, Wainstein, Marina, Ghadimi, Moji, Spyrison, Nicholas, Granado, Rolando Claure-Del, Shrapnel, Sally, Pole, Jason D. and ISARIC Characterization Group (2025). Omicron surge impact on acute kidney injury in ICU patients: a study using the ISARIC COVID-19 database. PLoS One, 20 (11) e0336843, e0336843-11. doi: 10.1371/journal.pone.0336843

Omicron surge impact on acute kidney injury in ICU patients: a study using the ISARIC COVID-19 database

2025

Journal Article

Quantum algorithms for causal estimands

Goel, Rishi S., Myers, Casey R. and Shrapnel, Sally (2025). Quantum algorithms for causal estimands. Quantum Science and Technology, 11 (1) 015024, 1-22. doi: 10.1088/2058-9565/ae20b8

Quantum algorithms for causal estimands

2025

Journal Article

Global geographic and socioeconomic disparities in COVID-associated acute kidney injury: a systematic review and meta-analysis

Dai, Danyang, Gois, Pedro Franca, Simpson, Digby, Hedfi, Souhayel, Shrapnel, Sally and Pole, Jason Donald (2025). Global geographic and socioeconomic disparities in COVID-associated acute kidney injury: a systematic review and meta-analysis. Journal of Global Health, 15 04166, 1-26. doi: 10.7189/jogh.15.04166

Global geographic and socioeconomic disparities in COVID-associated acute kidney injury: a systematic review and meta-analysis

2025

Journal Article

WCN25-3476 Prevalence of Acute Kidney Injury throughout COVID-19: a Systematic review and meta-analysis

Gois, Pedro Henrique Franca, Dai, Danyang, Simpson, Digby, Hedfi, Souhayel, Shrapnel, Sally and Pole, Jason (2025). WCN25-3476 Prevalence of Acute Kidney Injury throughout COVID-19: a Systematic review and meta-analysis. Kidney International Reports, 10 (7), 2500-2500. doi: 10.1016/j.ekir.2025.04.039

WCN25-3476 Prevalence of Acute Kidney Injury throughout COVID-19: a Systematic review and meta-analysis

2025

Conference Publication

WCN25-3476 Prevalence of acute kidney injury throughout COVID-19: a systematic review and meta-analysis

Gois, Pedro Henrique Franca, Dai, Danyang, Simpson, Digby, Hedfi, Souhayel, Shrapnel, Sally and Pole, Jason (2025). WCN25-3476 Prevalence of acute kidney injury throughout COVID-19: a systematic review and meta-analysis. ISN World Congress of Nephrology (WCN) 2025, New Delhi, India, 6-9 February 2025. New York, NY, United States: Elsevier. doi: 10.1016/j.ekir.2024.11.1083

WCN25-3476 Prevalence of acute kidney injury throughout COVID-19: a systematic review and meta-analysis

2025

Journal Article

A systematic review of quantum machine learning for digital health

Gupta, Riddhi S., Wood, Carolyn E., Engstrom, Teyl, Pole, Jason D. and Shrapnel, Sally (2025). A systematic review of quantum machine learning for digital health. npj Digital Medicine, 8 (1) 237, 237-1. doi: 10.1038/s41746-025-01597-z

A systematic review of quantum machine learning for digital health

2025

Journal Article

A de Finetti theorem for quantum causal structures

Costa, Fabio, Barrett, Jonathan and Shrapnel, Sally (2025). A de Finetti theorem for quantum causal structures. Quantum, 9 1628, 1-20. doi: 10.22331/q-2025-02-11-1628

A de Finetti theorem for quantum causal structures

2024

Journal Article

Quantum kernel machine learning with continuous variables

Henderson, Laura J., Goel, Rishi and Shrapnel, Sally (2024). Quantum kernel machine learning with continuous variables. Quantum, 8 1570. doi: 10.22331/q-2024-12-17-1570

Quantum kernel machine learning with continuous variables

2024

Journal Article

At-admission prediction of mortality and pulmonary embolism in an international cohort of hospitalised patients with COVID-19 using statistical and machine learning methods

Mesinovic, Munib, Wong, Xin Ci, Rajahram, Giri Shan, Citarella, Barbara Wanjiru, Peariasamy, Kalaiarasu M., van Someren Greve, Frank, Olliaro, Piero, Merson, Laura, Clifton, Lei, Kartsonaki, Christiana, Abdukahil, Sheryl Ann, Abdulkadir, Nurul Najmee, Abe, Ryuzo, Abel, Laurent, Abrous, Amal, Absil, Lara, Acker, Andrew, Adachi, Shingo, Adam, Elisabeth, Adriano, Enrico, Adrião, Diana, Ageel, Saleh Al, Ahmed, Shakeel, Aiello, Marina, Ainscough, Kate, Airlangga, Eka, Aisa, Tharwat, Hssain, Ali Ait, Tamlihat, Younes Ait ... Zucman, David (2024). At-admission prediction of mortality and pulmonary embolism in an international cohort of hospitalised patients with COVID-19 using statistical and machine learning methods. Scientific Reports, 14 (1) 16387. doi: 10.1038/s41598-024-63212-7

At-admission prediction of mortality and pulmonary embolism in an international cohort of hospitalised patients with COVID-19 using statistical and machine learning methods

2024

Journal Article

Lightweight transformers for clinical natural language processing

Rohanian, Omid, Nouriborji, Mohammadmahdi, Jauncey, Hannah, Kouchaki, Samaneh, Nooralahzadeh, Farhad, Clifton, Lei, Merson, Laura, Clifton, David A., Abbas, Ali, Abdukahil, Sheryl Ann, Abdulkadir, Nurul Najmee, Abe, Ryuzo, Abel, Laurent, Abrous, Amal, Absil, Lara, Jabal, Kamal Abu, Salah, Nashat Abu, Acharya, Subhash, Acker, Andrew, Adachi, Shingo, Adam, Elisabeth, Adewhajah, Francisca, Adriano, Enrico, Adrião, Diana, Al Ageel, Saleh, Ahmed, Shakeel, Aiello, Marina, Ainscough, Kate, Airlangga, Eka ... Zucman, David (2024). Lightweight transformers for clinical natural language processing. Natural Language Engineering, 30 (5), 887-914. doi: 10.1017/S1351324923000542

Lightweight transformers for clinical natural language processing

2024

Journal Article

Stepping down from mere appearance: modelling the ‘actuality’ of time

Shrapnel, Sally, Evans, Peter W. and Milburn, Gerard J. (2024). Stepping down from mere appearance: modelling the ‘actuality’ of time. Australasian Philosophical Review, 8 (3), 278-284. doi: 10.1080/24740500.2023.2285008

Stepping down from mere appearance: modelling the ‘actuality’ of time

2024

Journal Article

Implementing AI in Hospitals to Achieve a Learning Health System: Systematic Review of Current Enablers and Barriers

Kamel Rahimi, Amir, Pienaar, Oliver, Ghadimi, Moji, Canfell, Oliver J., Pole, Jason D., Shrapnel, Sally, van der Vegt, Anton H. and Sullivan, Clair (2024). Implementing AI in Hospitals to Achieve a Learning Health System: Systematic Review of Current Enablers and Barriers. Journal of Medical Internet Research, 26 e49655, 1-29. doi: 10.2196/49655

Implementing AI in Hospitals to Achieve a Learning Health System: Systematic Review of Current Enablers and Barriers

2024

Journal Article

Characteristics and outcomes of COVID-19 patients admitted to hospital with and without respiratory symptoms

Citarella, Barbara Wanjiru, Kartsonaki, Christiana, Ibáñez-Prada, Elsa D., Gonçalves, Bronner P., Baruch, Joaquin, Escher, Martina, Pritchard, Mark G., Wei, Jia, Philippy, Fred, Dagens, Andrew, Hall, Matthew, Lee, James, Kutsogiannis, Demetrios James, Wils, Evert-Jan, Fernandes, Marília Andreia, Tirupakuzhi Vijayaraghavan, Bharath Kumar, Panda, Prasan Kumar, Martin-Loeches, Ignacio, Ohshimo, Shinichiro, Fatoni, Arie Zainul, Horby, Peter, Dunning, Jake, Rello, Jordi, Merson, Laura, Rojek, Amanda, Vaillant, Michel, Olliaro, Piero, Reyes, Luis Felipe, Moharam, S.A. ... Zucman, David (2024). Characteristics and outcomes of COVID-19 patients admitted to hospital with and without respiratory symptoms. Heliyon, 10 (10) e29591, e29591. doi: 10.1016/j.heliyon.2024.e29591

Characteristics and outcomes of COVID-19 patients admitted to hospital with and without respiratory symptoms

2024

Conference Publication

Validation Of The Extended Kdigo Definition To Diagnose Acute Kidney Injury In A General Hospital Population Using The Mimic-IV Dataset

Wainstein, Marina, Edward, Eleanor, Spyrison, Nicholas, Rahimi, Amir Kamel, Ghadimi, Moji, Johnson, David and Shrapnel, Sally (2024). Validation Of The Extended Kdigo Definition To Diagnose Acute Kidney Injury In A General Hospital Population Using The Mimic-IV Dataset. ISN World Congress of Nephrology (WCN) 2024, Buenos Aires, Argentina, 13-16 April 2024. New York, NY United States: Elsevier. doi: 10.1016/j.ekir.2024.02.537

Validation Of The Extended Kdigo Definition To Diagnose Acute Kidney Injury In A General Hospital Population Using The Mimic-IV Dataset

2024

Book Chapter

Artificial intelligence for diabetes in the hospital

Sly, Benjamin P., Shrapnel, Sally and Sullivan, Clair M. (2024). Artificial intelligence for diabetes in the hospital. Diabetes digital health, telehealth, and artificial intelligence. (pp. 353-366) edited by David C. Klonoff, David Kerr and Juan C. Espinoza. London, United Kingdom: Elsevier. doi: 10.1016/b978-0-443-13244-5.00021-3

Artificial intelligence for diabetes in the hospital

2024

Journal Article

Quantum kernel evaluation via Hong-Ou-Mandel interference

Bowie, Cassandra, Shrapnel, Sally and Kewming, Michael (2024). Quantum kernel evaluation via Hong-Ou-Mandel interference. Quantum Science and Technology, 9 (1) 015001, 1-10. doi: 10.1088/2058-9565/acfba9

Quantum kernel evaluation via Hong-Ou-Mandel interference

2024

Conference Publication

Learning abstract physics with immersive Virtual Reality experiences

Wegener, Margaret J., Zeppetzauer, Stefan, McIntyre, Timothy J., Debs, John, Neely, Tyler, Shrapnel, Sally, Ginges, Jacinda and Madden, David (2024). Learning abstract physics with immersive Virtual Reality experiences. Australian Institute of Physics Congress, Melbourne, VIC, Australia, 1-5 December 2024.

Learning abstract physics with immersive Virtual Reality experiences

2024

Conference Publication

The realities of virtual reality for learning science

Wegener, Margaret J., Zeppetzauer, Stefan, McIntyre, Timothy J., Madden, David S., Debs, John, Neely, Tyler, Shrapnel, Sally, Ginges, Jacinda and Romero, Jacquiline (2024). The realities of virtual reality for learning science. Australian Conference on Science and Mathematics Education, Canberra, ACT, Australia, 18-20 September 2024.

The realities of virtual reality for learning science

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

    Avoiding Barren Plateaus and scalability of quantum machine learning algorithms.

    Principal Advisor

    Other advisors: Dr Riddhi Gupta

  • Doctor Philosophy

    Characterising the impact of noise in quantum machine learning.

    Principal Advisor

    Other advisors: Dr Riddhi Gupta

  • Master Philosophy

    Quantum Causal Semiotics

    Principal Advisor

  • 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: 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

For media enquiries about Associate Professor Sally Shrapnel's areas of expertise, story ideas and help finding experts, contact our Media team:

communications@uq.edu.au