The discovery of important molecular sensors, mediators, and effectors involved in innate immunity and autophagy requires a deeper exploration of how these function as integrated systems. Our lab utilizes integrative systems approaches involving computation and high-throughput experimentation (RNA interference (RNAi) and chemical biology screens, transcriptomics, proteomics, metabolomics, and data from genome-wide association studies (GWAS)) to investigate the underlying signaling pathways and regulatory networks that define host-pathogen-microbiome interactions, inflammation, autophagy and pathogenesis of complex immunological diseases including Crohn’s disease, ulcerative colitis and Type I diabetes. We are particularly interested in pursuing a systems-level understanding of microbial sensing mechanisms and regulatory control in immune signaling circuits through transcriptional, metabolic and epigenetic programming.
Aylwin Ng is an Instructor in Medicine at Harvard Medical School, Assistant in Immunology at Massachusetts General Hospital, Associate Investigator at the Center for the Study of Inflammatory Bowel Disease at MGH, and an associated researcher at the Broad Institute of MIT & Harvard. He holds a Master’s degree in computational biology from Imperial College London and a Ph.D./D.Phil. in molecular virology and immunology from Oxford University. He has trained in inter-disciplinary fields spanning functional genomics, computational and experimental biology, and completed fellowships in computational biology at the Ludwig Institute for Cancer Research (UK branch) and in integrative systems biology at the Center for Computational & Integrative Biology (CCIB) at MGH.
Dr. Aylwin Ng
Gray Jackson 8, Room GRJ-825A
Massachusetts General Hospital
55 Fruit Street, Boston, MA 02114
Post-doctoral fellowship opportunities in Computational and Integrative Systems biology
Post-doctoral fellowship opportunities are available in the lab for creative, talented and highly motivated computational scientists who have a strong interest in pursuing computational and systems-level research into understanding biological circuits, and pathways in regulating immune responses to microbes or their dysregulation in complex genetic diseases, including Crohn’s disease, ulcerative colitis and Type I diabetes.
Applicants should have a Ph.D., with a background in one or more of the following:
and proficiency in Java/C, Python/Perl, and MATLAB/R.
If you are interested in applying, please email your interests, curriculum vitae and reference letters to:
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