Academic Profile : Faculty

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Assoc Prof Melissa Jane Fullwood
Associate Chair (Students), School of Biological Sciences
Associate Professor, School of Biological Sciences
External Links
 
Dr. Melissa J. Fullwood is an Associate Professor in the School of Biological Sciences in NTU. Her lab works on understanding the roles of 3-dimensional organization of our genome in transcription regulation in cancer cells.

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. She worked as a Lee Kuan Yew Post-doctoral Fellow in Duke-NUS Graduate Medical School. She became a Junior Principal in the Cancer Science Institute of Singapore in 2013 upon winning a National Research Foundation Fellowship, and joined School of Biological Sciences, NTU as an Assistant Professor in 2015. She became an Associate Professor with tenure in 2022.

She was a recipient of the Agency for Science, Technology and Research (A*STAR) National Science Scholarships, a L’Oreal-UNESCO for Women in Science National Fellowships in Singapore in 2009, and was the international winner of the GE and Science prize, as well as the A*STAR/SNAS Young Scientist Award.
(1) 3-dimensional organization of cancer genomes in RNA transcriptional regulation
(2) Artificial intelligence for predicting epigenomic and transcriptomic phenomena
 
  • Characterization of DNA repair pathways in the regulation of H3K27ac-bound c-MYC, YY1 and CTCF-associated 3D genome organization loops in high-c-MYC myeloid leukemia
  • Examining 3D genome organization and RNA in health and disease
  • Investigating the effects of environmental factors on 3D genome organization in cancer through Artificial Intelligence
  • Mechanisms of Progesterone Antagonism of Estrogen Action on the Endometrium
  • Predicting large scale chromatin interaction datasets from small scale Hi-C datasets with artificial intelligence
  • RNA Therapeutics against RNA m6A Methyltransferases as Cancer Therapy: Case Study in Acute Myeloid Leukemia and Multiple Myeloma
  • Targeting the developmental origins of liver disease and its progression to hepatocellular carcinoma (HCC)
  • Towards Trustworthy AI: Development of a framework for evaluation of Explainable AI models in biological epigenomics and RNA-Seq applications for future healthcare
Courses Taught
BS3004 - Cancer Biology and Therapy
H3 Biology - Molecular Biology