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
Fields of research
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.
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.
Funding
Current funding
Past funding
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
-
2025
Doctor Philosophy
Artificial Intelligence to Improve Clinical Outcomes in Hospitals
Principal Advisor
Other advisors: Professor Clair Sullivan, Dr Oliver Canfell, Professor Jason Pole
-
2024
Doctor Philosophy
Improving Kidney Disease Detection and Risk Prediction Across Diverse Regional and Socioeconomic Settings
Principal Advisor
Other advisors: Professor David Johnson
-
2024
Doctor Philosophy
The Wealth of Features: towards a coherent cooperative game theory for feature importance
Associate Advisor
Other advisors: Dr Ian Wood, Professor Geoffrey McLachlan
-
2021
Doctor Philosophy
High-Dimensional Quantum Information
Associate Advisor
Other advisors: Professor Andrew White, Associate Professor Jacqui Romero
Media
Enquiries
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