Big data has become a ubiquitous watchword of biomedical innovation advocating deployment of advanced data-driven artificial intelligence techniques and systems thinking to revolutionise biomedical research and practice.
AI-empowered Biomedicine Laboratory led by Dr Fatemeh Vafaee develops cutting-edge innovative machine-learning and network science methodologies to leverage large-scale molecular and clinical data to find hidden structures within them, account for complex interactions among the measurements, integrate heterogeneous data and make accurate predictions in different biomedical applications.
In this talk, Dr Vafaee provides some examples (as much as time allows) of ongoing projects across three main themes in her research program including:
- minimally-invasive biomarker discovery for personalised medicine
- single-cell sequencing data analysis and integration, and
- computational drug repositioning and network pharmacology.
Across all themes, Dr Vafaee’s research heavily relies on multidisciplinary expertise and cross-faculty collaborations to generate translatable outcomes impacting upon biomedicine of the future.
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Dr Fatemeh Vafaee is a Senior Lecturer in Computational Biomedicine in the School of Biotechnology and Biomolecular Sciences, UNSW-Sydney (2017 – Present). She is the Deputy Director of UNSW Data Science Hub and leads the ‘Health Data Science’ priority area. She has launched (2017) and leads Artificial Intelligence in Biomedicine Laboratory (VafaeeLab.com) at UNSW which currently holds 10 members collaboratively working on deploying advanced AI techniques to address variety of biomedical pressing problems. Dr Vafaee has received her PhD in Artificial Intelligence from the School of Computer Science at the University of Illinois at Chicago, USA (2011) followed by 2 multidisciplinary postdoctoral fellowships at University of Toronto, University Health Network and Ontario Cancer Institute on computational biomedicine (2011 – 2012), and at the University of Sydney, Charles Perkins Centre on computational systems biology (2013 – 2017). Dr Vafaee has a strong track record of multidisciplinary research leadership and industrial engagement. Her research has been attracted over $5.7M across >10 research and industry-based project grants including prestigious schemes of Medical Research Future Fund (MRFF) and Cooperative Research Centre Project (CRCP). She has co-authored >40 publications (68% corresponding author, i10-index: 21, and Field-Weighted Citation Impact: 3.08) in prestigious venues—e.g., Nature Methods, Nature Communications, Briefing in Bioinformatics, Systems Biology & Applications, and Precision Oncology—demonstrating her research impact, leadership, and substantive contribution in methodological changes.