Professor Michael Sorich
Professor in Clinical Pharmacology
College of Medicine and Public Health
I am a clinical epidemiologist, biostatistician, and pharmacist.
My research uses machine learning and advanced biostatistical methods to predict treatment efficacy and toxicity (precision medicine), particularly for anti-cancer medicines. Additionally, I develop and evaluate health applications of generative artificial intelligence (AI), aiming to maximise the positive health impacts for patients and mitigate potential safety issues for individuals and society. Lastly, I research extracellular vesicle biomarkers as a liquid biopsy to expedite drug development by enabling the tracking of organ-specific drug effects.
I have deep expertise in many areas of clinical data science, including prediction models (machine learning), generative AI, survival analysis, evaluation of treatment heterogeneity, clinical trial analysis, and meta-analysis. I am highly proficient in both R and Python programming languages.
- PhD
- Graduate Diploma in Medical Statistics
- Bachelor of Pharmacy Honours (1A)
- Bachelor of Pharmacy
Selected Awards
- 2019: Principal Cancer Research Fellowship, Beat Cancer Project
- 2008: South Australian Tall Poppy Award, Australian Institute of Policy and Science
- 2006: Denis Wade Johnson & Johnson New Investigator Award, Australasian Society of Clinical and Experimental Pharmacologists and Toxicologists
- 2004: CJ Martin Postdoctoral Fellowship, National Health and Medical Research Council of Australia
- 2003: New Investigator Award, Australasian Pharmaceutical Science Association
- 2002: Scholarship, Machine Learning Summer School, Australian National University
Selected Research Grants
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Electronic Patient REPorted Outcome MeAsures for REmote Symptom Monitoring. CIs: Kichenadasse G, Ostroff C, Corsini N, Sorich M, et al. MRFF Project Grant. (2023 -2027)
- Machine learning of randomised controlled trials. Sorich MJ, Kichenadasse G. NHMRC Ideas Grant. (2012-2024)
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From Big Data to Precision Medicine. Sorich MJ. Cancer Council SA / Beat Cancer (2019-2023).
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ADMExosomes: A new paradigm for tracking variability in drug exposure. Rowland A, Sorich MJ, Makenzie P. NHMRC Project Grant (2019-2021)
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Improving the evaluation of new cancer therapies to expedite patient access. Karnon J, Sorich MJ, Ward R, Latimer N, Coory M. Project grant. NHMRC Project Grant (2017-2019)
- Dynamic Prediction of Immune Checkpoint Inhibitor Response and Toxicity. Sorich MJ, Gurney H, Kichenadasse G, McKinnon RA, Wiese MD, Rowland A. Cancer Council SA Project Grant (2017-2018)
- Optimisation of the safety and efficacy of protein kinase inhibitors using endogenous and dietary biomarkers. Sorich MJ, Rowland A, Wiese M, Miners J, Gurney H. NHMRC Project Grant. (2016-2018)
- Personalised medicine markers of anti-EGFR antibody therapy in metastatic colorectal cancer. Karapetis, C, Sorich MJ, McKinnon RA, Buyse M. NHMRC Project Grant (2015-2018)
- Flinders Centre for Gastrointestinal Cancer Prevention. Watson D, Karapetis C, Young G, Wilson C, Fraser R, Reed R, Sorich M, et al. Beat Cancer Hospital Research Package. (2014-2018).
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Member, NHMRC Grant Review Panel Working Committee
- Member, Editorial Board of Translational Lung Cancer Research
- Member, Executive Committee, FHMRI Cancer
- Topic Coordinator, Principles of Pharmacology and Therapeutics (MMED9110), Flinders University
- Topic Coordinator, Pharmacology for Advanced Professional Practice (MMED9111), Flinders University
- Member, Master of Nursing (Nurse Practitioner) Course Committee, Flinders University
Member, NHMRC Grant Review Panel Working Committees (Ideas and Investigator Grant Schemes)
Member, Editorial Board, Therapeutic Advances in Drug Safety
Member, Editorial Board, Translational Cancer Research
Member, Editorial Board, Clinical Pharmacology & Translational Medicine
- Precision medicine
- Prediction modelling in cancer
Sturt Rd, Bedford Park
South Australia 5042
South Australia | Northern Territory
Global | Online
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