STAFF PROFILE
Professor Karin Verspoor
Position:
Dean, School of Computing Technologies
College / Portfolio:
STEM College
Phone:
+61399255654
Email:
karin.verspoor@rmit.edu.au
Campus:
City Campus
Contact me about:
Research supervision
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.
- Artificial Intelligence in Medicine
- Biomedical Natural Language Processing
- Computational Linguistics
- Health Informatics
- Health Data Analytics
- Computational Biology
- Cheminformatics
- PhD, Cognitive Science and Natural Language, The University of Edinburgh (UK)
- MSc, Cognitive Science and Natural Language, The University of Edinburgh (UK)
- BA, Computer Science, Rice University (Houston, TX, USA)
- 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)
- Sarwar, T.,Seifollahi, S.,Chan, J.,Zhang, X.,Aksakalli, V.,Hudson, I.,Verspoor, K.,Cavedon, L. (2022). The Secondary Use of Electronic Health Records for Data Mining: Data Characteristics and Challenges In: ACM Computing Surveys, 55, 1 - 36
- Cao, K.,Verspoor, C.,Sahebjada, S.,Baird, P. (2022). Accuracy of Machine Learning Assisted Detection of Keratoconus: A Systematic Review and Meta-Analysis In: Journal of Clinical Medicine, 11, 1 - 19
- Elangovan, A.,Li, Y.,Pires, D.,Davis, M.,Verspoor, K. (2022). Large-scale protein-protein post-translational modification extraction with distant supervision and confidence calibrated BioBERT In: BMC Bioinformatics, 23, 1 - 23
- Rozova, V.,Witt, K.,Robinson, J.,Li, Y.,Verspoor, K. (2022). Detection of self-harm and suicidal ideation in emergency department triage notes In: Journal of the American Medical Informatics Association : JAMIA, 29, 472 - 480
- Verspoor, C. (2021). The Evolution of Clinical Knowledge During COVID-19: Towards a Global Learning Health System In: Yearbook of Medical Informatics, 30, 176 - 184
- Li, M.,Cai, W.,Liu, R.,Salim, F.,Verspoor, K.,Chang, Xiaojun., et al.,, . (2021). FFA-IR: Towards an Explainable and Reliable Medical Report Generation Benchmark In: Advances in Neural Information Processing Systems 34 pre-proceedings (NeurIPS Datasets and Benchmarks 2021), Virtual, 6-14 December 2021
- Cao, K.,Verspoor, C.,Chan, E.,Daniell, M.,Sahebjada, S.,Baird, P. (2021). Machine learning with a reduced dimensionality representation of comprehensive Pentacam tomography parameters to identify subclinical keratoconus In: Computers in Biology and Medicine, 138, 1 - 6
- Fang, B.,Druckenbrodt, C.,Akhondi, S.,He, J.,Baldwin, T.,Verspoor, K. (2021). ChEMU-Ref: a corpus for modeling anaphora resolution in the chemical domain In: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics, Virtual Event, 19-23 April 2021
- Zhai, Z.,Druckenbrodt, C.,Thorne, C.,Akhondi, S.,Nguyen, D.,Cohn, T.,Verspoor, K. (2021). ChemTables: a dataset for semantic classification on tables in chemical patents In: Journal of Cheminformatics, 13, 1 - 20
- Chen, J.,Geard, N.,Zobel, J.,Verspoor, K. (2021). Automatic consistency assurance for literature-based gene ontology annotation In: BMC Bioinformatics, 22, 1 - 22
- Technology Development for improved Clinical Trials prediction models (administered by Opyl Limited). Funded by: Innovation Connections grant - Cat 1 from (2022 to 2023)
- Using artificial intelligence and novel technology to detect and monitor corneal disease (administered by University of Melbourne). Funded by: National Health and Medical Research Council (NHMRC) Project Grants 2017 (for funding commencing in 2018) from (2021 to 2023)
- Automated Assessment of Data Quality in Biological Knowledge Resources (Administered by University of Melbourne). Funded by: ARC Discovery Projects 2019 from (2021 to 2021)
- Meeting the challenges of invasive fungal infection: antifungal stewardship and effective surveillance in high-risk groups (Administered by University of Melbourne). Funded by: NHMRC Project Grant - via other university from (2019 to 2023)
- Biochemical text mining for advanced chemical and pharmaceutical knowledge (Administered by The University of Melbourne). Funded by: ARC Linkage Project Grant 2016 via other University from (2018 to 2022)