IDENTIFICATION & CHARACTERISATION OF MOLECULAR DRIVERS OF THERAPEUTIC RESISTANCE
With
Professor Pieter Eichhorn
Group Leader, Curtin Medical Research Institute &
Dean of Research Infrastructure & Professor at Curtin University
Western Australia
RESEARCHER PROFILE
Filmed in Perth, Western Australia | February 2026
Professor Pieter Eichhorn is an internationally experienced cancer biologist and research leader whose career has been defined by high-impact contributions at the interface of functional genomics, translational oncology, and research infrastructure strategy.
He completed his PhD at the University of Newcastle upon Tyne, contributing to the cloning of the gene associated with Cornelia de Lange Syndrome, before undertaking postdoctoral training at the Netherlands Cancer Institute in the laboratory of René Bernards. There, he performed pioneering functional genetic screens that identified key regulators of oncogenesis and therapy resistance, including critical roles for the PI3K signalling pathway in resistance to targeted breast cancer therapies.
He subsequently worked Dr. Jose Baselga at the Vall d’Hebron Institute of Oncology and Harvard Medical School contributing to studies on signalling networks, resistance mechanisms, and ubiquitin pathway regulation in cancer.
A major career highlight has been the identification and characterisation of molecular drivers of therapeutic resistance, including work on PI3K pathway biology and ubiquitin-regulated oncogenic signalling, published in high-impact journals and informing biomarker-driven therapeutic strategies.
At Curtin University, he has established and led a multidisciplinary translational research program focused on deubiquitinases, epithelial plasticity, and non-coding RNA biology in breast and melanoma. In parallel, he has provided strategic leadership as Dean of Research Infrastructure, overseeing major national and institutional infrastructure investments, NCRIS-aligned initiatives, and large-scale collaborative platforms that enhance research capability and clinical translation.
COLLABORATIONS
National University of Singapore, Walter and Eliza Hall Institute, Peter Mac, Vall d’Hebron, Helmholtz Munich, University of Manchester,
FUNDING
World Cancer Research Fund, Cancer Council Wa, Australia Center for RNA Therapy in Cancer
Source: Supplied
https://orcid.org/0000-0001-5840-943X
-
Biomarkers for early sepsis detection
Dr Gabrielle Briggs is a biomedical scientist dedicated to finding smarter, faster ways to diagnose and treat life threatening complications in critically ill patients. Dr Briggs established a research laboratory embedded within the John Hunter Hospital – one of the busiest major trauma centres in NSW. Dr Briggs works alongside surgeons, intensivists, and pathologists to turn complex clinical problems into practical research solutions. Her work spans two major programs: developing a rapid diagnostic test to detect bacterial infections in blood before sepsis takes hold, and exploring mitochondrial transplantation as a novel therapy to rescue injured tissues after trauma and ischaemia.
-
Stem cells used for age-related macular degeneration
Dr. Jenna Hall is a passionate and accomplished biologist with expertise in induced pluripotent stem cell (iPSC) culture, disease modelling, and high-throughput automated systems. She recently earned her PhD from the University of Melbourne, where her research focused on using iPSC-derived retinal pigment epithelium (RPE) cells to study age-related macular degeneration. Dr Hall’s technical skillset spans manual and automated cell reprogramming and differentiation, quantitative microscopy-based phenotyping, and large scale -omics analysis.
-
Digital Biomarkers and AI for Optimal Diagnosis, Treatment, and Decision-Making
Associate Professor Johan Verjans is a clinician-scientist with a strong focus on cross-disciplinary translational research. In his role as Deputy Director at the Australian Institute for Machine Learning (AIML)—one of the world’s premier machine learning institutes, with over 200 researchers—and as Group Leader of Artificial Intelligence at the South Australian Health and Medical Research Institute (SAHMRI), he integrates his expertise in molecular medicine, clinical research, and advanced imaging with machine learning applications. This unique combination enables him to drive the translation of cutting-edge AI research into practical medical applications. He works with global teams from multinationals on AI problems.
