Professor Michael Sorich

Professor in Clinical Pharmacology

College of Medicine and Public Health

+61 8 82013217

michael.sorich@flinders.edu.au

Health and Medical Research Building

GPO Box 2100, ADELAIDE, SA, 5001

I am a Health AI researcher, biostatistician, and pharmacist with over 20 years of experience applying data science and artificial intelligence to improve the use of medicines and healthcare decision-making.

My research spans three main areas:

developing and critically evaluating health applications of generative AI, with a focus on clinical reliability, safety, and oversight
using machine learning and advanced biostatistical methods - often with individual participant data from clinical trials - to predict who will benefit from anti-cancer treatments and who is at risk of serious side effects.
investigating extracellular vesicle biomarkers as liquid biopsies to track drug effects on specific organs in real time.

With extensive expertise in clinical data science - including generative AI, predictive AI, survival analysis, treatment heterogeneity, clinical trial evaluation, and meta-analysis - I aim to understand and utilise complex data to improve healthcare. I welcome opportunities for collaboration to advance healthcare through innovative research and education.

Qualifications

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

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. (2021-2025)
From Big Data to Precision Medicine. Sorich MJ. Cancer Council SA / Beat Cancer (2020-2026).
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 (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).