Professor Michael Sorich

Professor in Clinical Pharmacology

College of Medicine and Public Health

place Flinders Medical Centre (5E:315)
GPO Box 2100, Adelaide 5001, South Australia

I am a clinical epidemiologist, biostatistician, and pharmacist with a primary research interest in the use of biological, chemical, and clinical markers to guide decisions regarding the most appropriate use of medicines (precision medicine). My research focuses on the use of machine learning and advanced biostatistical methods to predict treatment efficacy and toxicity - particularly in the area of anti-cancer medicines. This research involves analysis of big data - in particular, pooling of data across multiple clinical trials. Additionally, I research novel biomarkers to predict drug exposure which will enable personalisation of medicine dosing.

I have deep expertise in many areas of data science, including machine learning (prediction models), survival analysis, evaluation of treatment heterogeneity, clinical trial analysis, and meta-analysis. I have a high degree of proficiency in both R and python programming languages.

  • PhD
  • Graduate Diploma in Medical Statistics
  • Bachelor of Pharmacy Honours (1A)
  • Bachelor of Pharmacy
Honours, awards and grants

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

  • Machine learning of randomised controlled trials. Sorich MJ, Kichenadasse G. NHMRC Ideas Grant. (2012-2024)
  • From Big Data to Precision Medicine: Integrated analysis of clinical trial and electronic health record data in lung cancer. Sorich MJ. Cancer Council SA / Beat Cancer (2019-2023).

  • ADMExosomes: A new paradigm for tracking variability in drug exposure. Rowland A, Sorich MJ, Makenzie P. NHMRC Project Grant (2019-2021)

  • 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. NHMRC (2015-2018)
  • Flinders Centre for Gastrointestinal Cancer Prevention. Watson D, Karapetis C, Young G, Wilson C, Fraser R, Reed R, Sorich M, Ratcliffe J, Woodman R, McKinnon R. Beat Cancer Hospital Research Package. (2014-2018).
Key responsibilities
  • Member, NHMRC Grant Review Panel Working Committee

  • Member, Editorial Board of Translational Lung Cancer Research
  • Member, Editorial Board of Therapeutic Advances in Drug Safety
  • Member, Editorial Board of Translational Cancer Research
  • Member, Editorial Board of Clinical Pharmacology & Translational Medicine
  • 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
Topic coordinator
MMED9110 Principles of Pharmacology and Therapeutics
MMED9111 Pharmacology for Advanced Professional Practice
Topic lecturer
MMED3934 Principles of pharmacology and toxicology
PARA3006 Applied Pharmacology
MMED9110 Principles of Pharmacology and Therapeutics
MMED9111 Pharmacology for Advanced Professional Practice
NUTD3102 Nutrients Role & Function
MMED8203 Knowledge of Health and Illness 2
MMED8103 Knowledge of Health and Illness 1A
Supervisory interests
Clinical epidemiology
Clinical pharmacology
Evidence based medicine
Machine learning
Personalised medicine
Higher degree by research supervision
Principal supervisor: Biomarkers of drug metabolism (1)
Associate supervisor: Drug exposure response relationships (1), Biomarkers of drug metabolism (1)
  • Precision medicine
  • Predication modelling in cancer