Data science is an important component of biomedical and
translational research, where data of multiple modalities are
being constantly generated at unprecedented scale. The
Research Data Integration group in the Biomedical Datahub
Division aims to bridge the complexity of computational biology
and data science with the needs of biologists and clinicians to
drive biological discoveries and predict translational outcomes.
To achieve this goal, we are developing capabilities to analyze
and integrate multi-omics, imaging and clinical data generated
by biomedical institutes in A*STAR, clinical institutions and
national platforms in Singapore to improve the usability and interpretability of large-scale multimodal datasets of cancer
and other diseases.
Cancer is one of our disease focus in the Biomedical Datahub.
Our group uses a wide range of computational, statistical,
annotation and machine learning approaches to analyze largescale
multi-modal datasets generated from cancer patients,
xenografts, organoids and cell lines. We work closely with
cancer biologists, bioinformaticians and clinicians to build
clinical and experimental cancer data resources that can drive
research analysis and inform treatment options in the clinic,
thereby improving patient outcomes.
Xing Yi Woo obtained her PhD in Chemical Engineering from the Joint-PhD program of University of Illinois at Urbana Champaign and National University of Singapore. She did her postdoctoral fellowship in the Genome Institute of Singapore under the mentorship of Professors Edison Liu and Guillaume Bourque. Subsequently, she joined The Jackson Laboratory as a computational scientist and made significant contributions in a wide range of computational projects, including analysis pipeline development, clinical curation and downstream analysis of large-scale datasets of cancer and patient-derived xenografts. She has led analysis projects in cancer resources and consortiums, and contributed to publications in high impact journals, including Nature Genetics, Proceedings of the National Academy of Sciences, Cancer Research and Genome Research.
From groundbreaking discoveries to cutting-edge research, our researchers are empowering the next generation of female science, technology, engineering and mathematics (STEM) leaders. Get inspired by our #WomeninSTEM