Professor Karin Verspoor
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
- 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)
- Li, M.,Cai, W.,Verspoor, C.,Pan, S.,Liang, X.,Chang, X. (2022). Cross-modal Clinical Graph Transformer For Ophthalmic Report Generation In: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, United States, 19/06/2022 - 24/06/2022
- Otmakhova, Y.,Verspoor, C.,Lau, J. (2022). The patient is more dead than alive: exploring the current state of the multi-document summarisation of the biomedical literature In: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022), Hybrid - Dublin, Ireland, 22/05/2022 - 27/05/2022
- Fang, B.,Baldwin, T.,Verspoor, C. (2022). What does it take to bake a cake? The RecipeRef corpus and anaphora resolution in procedural text In: Proceedings of the Findings of the Association for Computational Linguistics (ACL 2022), Hybrid - Dublin, Ireland, 22/05/2022 - 27/05/2022
- Li, Y.,Fang, B.,He, J.,Verspoor, K., et al, . (2022). The ChEMU 2022 Evaluation Campaign: Information Extraction in Chemical Patents In: Advances in Information Retrieval. ECIR 2022, Stavanger, Norway, 10-14 April 2022
- Wang, Y.,Beck, D.,Baldwin, T.,Verspoor, C. (2022). Uncertainty Estimation and Reduction of Pre-trained Models for Text Regression In: Transactions of the Association for Computational Linguistics, 10, 680 - 696
- Chen, J.,Goudey, B.,Zobel, J.,Geard, N.,Verspoor, K. (2022). Exploring automatic inconsistency detection for literature-based gene ontology annotation In: Bioinformatics, 38, 273 - 281
- Liu, J.,Capurro, D.,Nguyen, A.,Verspoor, C. (2022). “Note Bloat” impacts deep learning-based NLP models for clinical prediction tasks In: Journal of Biomedical Informatics, 133, 1 - 11
- Wang, S.,Suster, S.,Baldwin, T.,Verspoor, C. (2022). Predicting Publication of Clinical Trials Using Structured and Unstructured Data: Model Development and Validation Study In: Journal of Medical Internet Research, 24, 1 - 18
- Roy, G.,Geard, N.,Verspoor, K.,He, S. (2022). MPVNN: Mutated Pathway Visible Neural Network architecture for interpretable prediction of cancer-specific survival risk In: Bioinformatics (Oxford, England), 38, 5026 - 5032
- Goudey, B.,Geard, N.,Verspoor, C.,Zobel, J. (2022). Propagation, detection and correction of errors using the sequence database network In: Briefings in bioinformatics, 23, 1 - 12
- Improving patient outcomes through implementation of digital and diagnostic innovations for infections in cancer (Peter Mac led). Funded by: National Health and Medical Research Council Synergy Grants from (2022 to 2027)
- 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 2023)
- Real-time clinical decision support - Natural Language Processing Supporting Clinical Reasoning (Administered by University of Melbourne). Funded by: ARC Industrial Transformation Training Centre via other University Grant 2017 from (2020 to 2021)