Karin Verspoor

Professor Karin Verspoor

Dean, School of Computing Technologies

Details

Open to

  • Masters Research or PhD student supervision

About

Professor Karin Verspoor is Dean of the School of Computing Technologies at RMIT University in Melbourne, Australia.

Karin's research primarily focuses on the use of artificial intelligence methods to enable biological discovery and clinical decision support, through extraction of information from clinical texts and the biomedical literature and machine learning-based modelling.

Karin held previous posts as Director of Health Technologies and Deputy Head of the School of Computing and Information Systems at the University of Melbourne, as the Scientific Director of Health and Life Sciences at NICTA Victoria Research Laboratory, at the University of Colorado School of Medicine, and at Los Alamos National Laboratory.

She is also the Victorian Node lead and co-founder of the Australian Alliance for Artificial Intelligence in Health.

Industry experience:
- Intelligenesis/Webmind Corporation (New York, NY, USA)
- Applied Semantics (Los Angeles, CA, USA)
- Los Alamos National Laboratory (Los Alamos, NM, USA)
- National ICT Australia (Melbourne, VIC, Australia)

Academic positions

  • Dean, School of Computing Technologies
  • RMIT University
  • School of Computing Technologies
  • Melbourne, Australia
  • Feb 2021 – Present
  • Professor
  • University of Melbourne
  • School of Computing and Information Systems
  • , Australia
  • Jan 2017 – Mar 2021
  • Associate Professor
  • University of Melbourne
  • School of Computing and Information Systems
  • Melbourne, Australia
  • Mar 2014 – Dec 2016

Non-academic positions

  • Director
  • BioGrid Australia
  • , Australia
  • Aug 2016 – Present

Supervisor projects

  • Cross-modal information extraction of chemical knowledge
  • 18 Sep 2024
  • Does a musculoskeletal practitioner EHR have the required data quality for it to be used to predict work-related musculoskeletal disorder outcomes?
  • 1 May 2024
  • Explainable Deep Learning for Medical Image Analysis
  • 1 Sep 2023
  • Freeing up hundreds of thousands of researcher hours automating systematic reviews
  • 2 May 2023
  • Learning Numeracy from Text and Application to Clinical Domain
  • 17 May 2021

Research interests

Artificial Intelligence and Image Processing, Library and Information Studies, Information Systems, Biochemistry and Cell Biology

- Artificial Intelligence in Medicine
- Biomedical Natural Language Processing
- Computational Linguistics
- Health Informatics
- Health Data Analytics
- Computational Biology
- Cheminformatics
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Acknowledgement of Country

RMIT University acknowledges the people of the Woi wurrung and Boon wurrung language groups of the eastern Kulin Nation on whose unceded lands we conduct the business of the University. RMIT University respectfully acknowledges their Ancestors and Elders, past and present. RMIT also acknowledges the Traditional Custodians and their Ancestors of the lands and waters across Australia where we conduct our business - Artwork 'Sentient' by Hollie Johnson, Gunaikurnai and Monero Ngarigo.