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Dr. Lopes-Ramos is a Research Associate of the Department of Biostatistics at the Harvard T.H. Chan School of Public Health. Her research involves developing and applying genomics and systems biology methods to understand the regulatory processes that contribute to cancer development and response to therapies, including understanding differences between men and women.
During her PhD, she was trained in both experimental biology and bioinformatics to understand the molecular mechanisms associated with treatment response in colorectal cancer, and to identify predictive molecular biomarkers. During her postdoctoral fellowship, she developed skills in computational biology and network science. She has worked in the integration of ‘omics “big data” and the application of network methods to a wide range of problems, including the study of regulatory differences between cell lines and their tissues-of-origin, tissue-specific regulation, and the study of sexual dimorphism in healthy tissues and in colon cancer.
Currently, she is studying sexually dimorphic gene regulatory patterns across multiple cancer types in a “pan-cancer” study. This approach can provide substantial insight into better combined therapies that account for sex differences, and can have a major impact on the development of personalized targeted therapies and cancer discoveries.
During her PhD, she was trained in both experimental biology and bioinformatics to understand the molecular mechanisms associated with treatment response in colorectal cancer, and to identify predictive molecular biomarkers. During her postdoctoral fellowship, she developed skills in computational biology and network science. She has worked in the integration of ‘omics “big data” and the application of network methods to a wide range of problems, including the study of regulatory differences between cell lines and their tissues-of-origin, tissue-specific regulation, and the study of sexual dimorphism in healthy tissues and in colon cancer.
Currently, she is studying sexually dimorphic gene regulatory patterns across multiple cancer types in a “pan-cancer” study. This approach can provide substantial insight into better combined therapies that account for sex differences, and can have a major impact on the development of personalized targeted therapies and cancer discoveries.
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bioRxiv : the preprint server for biology (2023)
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bioRxiv (Cold Spring Harbor Laboratory) (2023)
biorxiv(2022)
bioRxiv (Cold Spring Harbor Laboratory)no. 10 (2021)
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