|Academic Profile |
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Asst Prof Melissa Jane Fullwood
Nanyang Assistant Professor, School of Biological Sciences
|Dr. Melissa J. Fullwood is a Nanyang Assistant Professor in the School of Biological Sciences in NTU, with a joint appointment as a Principal Investigator in the Cancer Science Institute of Singapore and Institute for Molecular and Cell Biology of A*STAR. She is part of the RNA Biology Center funded by a Ministry of Education Tier III grant (2015) at the Cancer Science Institute, and co-leads the Epigenomics core as part of this effort. |
She completed her undergraduate degree in Biological Sciences in 2005 at Stanford University and her PhD with the National University of Singapore Graduate School for Integrative Sciences and Engineering (NGS) in 2009, at the Genome Institute of Singapore with Dr Ruan Yijun as her PhD supervisor. She developed a method called ChIA-PET for investigations into 3-dimensional genome organization using massively parallel Paired End Tag sequencing. She was a participant of the “ENCODE” consortium under the United States National Institutes of Health. She worked as a Lee Kuan Yew Post-doctoral Fellow in Duke-NUS Graduate Medical School where she applied genomic techniques to the study of apoptosis. She was an Assistant Professor at Yale-NUS before moving to NTU, where she taught a popular course on "Foundations of Science: Cancer".
She has 17 publications, which have been cited over 1500 times, and includes publications in journals such as Nature. She is a co-inventor on two patents. She is a recipient of the Agency for Science, Technology and Research (A*STAR) National Science Scholarships, one of three recipients of the inaugural L’Oreal-UNESCO for Women in Science National Fellowships in Singapore in 2009, and was the international winner of the GE and Science prize in 2010. In 2013, she received the National Research Foundation (NRF) fellowship. In 2014, she received the A*STAR/SNAS Young Scientist Award.
|Cancer Epigenomics: 3-dimensional genome organization and interplay with RNA in cancers, particularly cancers of special interest to Singapore such as gastric cancer, leukemia and breast cancer.|
- Artificial intelligence for the prediction of alternative splicing from epigenomics and transcriptomics data in cancer
- De-orphanizing Non-coding Somatic Mutations In CancersThrough Chromatin Interactions
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