Professor Irene Hudson
Professor, Statistics and Data Analytics
Details
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College: School of Science
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Department: School of Science
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Campus: City Campus Australia
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irene.hudson@rmit.edu.au
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ORCID:
0000-0002-9000-9556
Open to
- Masters Research or PhD student supervision
- Industry Projects
About
- Professor Hudson (FRSS) was a Chief investigator at RMIT of Predictive Analytics of the CRC Digital Health RMIT node between 2022-2025 working on data science and statistical and ML methods to determine features of deterioration in aged care patients over time.
- Irene is also Part of Global Burden of Disease Network USA, leads collaborative work at RMIT/UniMelb on data science with value to biostats, public health surveillance, molecular biology, informatics for (eHRs) and novel alerting systems.
- Professor of Statistics, Data Science /Analytics RMIT, STEM College. An Elected Fellow of the Royal Statistical Society UK. Currently holds Adjunct positions at the University of Newcastle & UniMelb.
- Mapping /modelling/visualization of micro systems (molecules, brain voxels, anatomy) and macro systems (global disease & tobacco use with WHO, climate change, risk estimation) underpins Hudson’s research, in biostatistics, health and computational intelligence.
- Member ARC Centre of Excellence for Nanoscale BioPhotonics (diagnostics cytometry).
- Collaborator on point of care and ovarian cancer markers (NHMRC). Research in drug discovery & Protein-Kinase Interactions. Hudson’s cheminformatics work with IPAS Adelaide University has correlated molecular structure and true binding affinity of calpains for cataract treatments & developed a simple ranking scoring of violations which partitions chemo-space to better identify good druggable ligands, associated with specific disease targets.
- Research impact on RCTs, Evidence Based Med, devices (biomed), public health, drug industry, CSIRO - via big and small data paradigms/analytics.
- Hudson was Sub-Program Leader of the CRC HFPS, at the University of Melbourne, where her group mathematically mapped wood fibre, tree micro-structure as a spatio-temporal grid, in collaboration with CSIRO - this research was aligned with the pulp paper industry in Australia and New Zealand as industry partners.
- Irene has held academic posts at the University of Cambridge UK, ANU, Melbourne Uni, Canterbury University NZ, UniSA, Newcastle and Swinburne University. Prior to her appointment at RMIT Hudson had earlier academic /consulting roles as the Founding Head of the Biostatistics Unit, UniMelb worked in diverse areas from clinical trials to thoracic, paediatric medicine.
- Prof Hudson has an inter/national reputation in developing analytics for health and climate change research, with her collaborative work reported to the IPCC.
- Keen to supervise postgrads/docs in biostats, informatics, data science, chemo-, bio-, health and environ-informatics. Keen interest in causal inference in big data, Bayesian & computational statistics, meta-analysis, survival analytics and time-space states modelling.
Supervisor projects
- Modelling infectious diseases: new deterministic and stochastic approaches
- 1 Jan 2024
- Modelling complex time series using machine learning and time series probabilistic models
- 14 Sep 2023
Teaching interests
Data science, Biostatistics, engineering, informatics, epidemiology, categorical data methods, survival analytics, time series, climate change analytics, causal inference, drug discovery, devices, health, surveillance and theoretical and applied areas in visualization. Happy to supervise PhD, Masters, Honours students and minor thesis students.
Research interests
Statistics, Public Health and Health Services, Numerical and Computational Mathematics, Artificial Intelligence and Image Processing, Other Biochemistry and Cell Biology.
- Mapping /modelling/visualization of micro systems (molecules, brain voxels, anatomy) and macro systems (global disease & tobacco use with WHO, climate change, risk estimation) underpins Hudson’s research, in biostatistics, health and computational intelligence.
- Member ARC Centre of Excellence for Nanoscale BioPhotonics (diagnostics cytometry).
- Collaborator on point of care and ovarian cancer markers (NHMRC). Research in drug discovery & Protein-Kinase Interactions. Hudson’s cheminformatics work with IPAS Adelaide University has correlated molecular structure and true binding affinity of calpains for cataract treatments & developed a simple ranking scoring of violations which partitions chemo-space to better identify good druggable ligands, associated with specific disease targets.
- Research impact on RCTs, Evidence Based Med, devices (biomed), public health, drug industry, CSIRO - via big and small data paradigms/analytics.
