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Jennifer Gardy

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Nationality  Canadian
Name  Jennifer Gardy
Doctoral advisor  Fiona Brinkman

Jennifer Gardy 55143d59eeab3cdd4d16009b8b065839a6be2660b36b9d8b5
Institutions  BC Centre for Disease ControlUniversity of British Columbia
Notable awards  Governor General's Gold Medal, 2006
Institution  University of British Columbia
Alma mater  Simon Fraser University, McGill University
Fields  Molecular biology, Biochemistry, Bioinformatics

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Jennifer Gardy is an Assistant Professor at UBC's School of Population and Public Health, a Canada Research Chair in Public Health Genomics, and a Senior Scientist at the British Columbia Centre for Disease Control. She is an occasional host of CBC's The Nature of Things, a science communicator, and a children's book author.


Jennifer Gardy Jennifer Gardy Creating Connections 2013

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Jennifer Gardy Dr Jennifer Gardy receives UBC President39s Award for

Gardy received her PhD in molecular biology and biochemistry from Simon Fraser University in 2006. Previously, she earned a BSc in Cell Biology and Genetics from the University of British Columbia (2000) and a Graduate Certificate in Biotechnology from McGill University in 2001.

BC Centre for Disease Control

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Dr. Gardy began working for the BC Centre for Disease Control in 2009. During Dr. Gardy's time at the BCCDC, she began work on genome epidemiology, a new scientific field of inquiry. In 2014, she was made the Canada Research Chair (Tier 2) in Public Health Genomics.


Jennifer Gardy Dr Jennifer Gardy on UR YouTube

Jennifer Gardy has made regular appearances on CBC's documentary series The Nature of Things. She has hosted the episodes Myth or Science, Myth or Science 2: The Quest for Perfection, and Bugs, Bones & Botany: The Nature of Crime.

Jennifer Gardy Microbiologist Dr Jennifer Gardy YouTube

She has also appeared on Discovery Channel Canada's Daily Planet.

Selected publications

Jennifer Gardy Myth or Science 2 The Quest for Perfection The Nature
  • Gardy JL, Johnston JC, Shannon JHS et al. 2011. Whole genome sequencing and social-network analysis of a tuberculosis outbreak. N Engl J Med 364:730-739.
  • Lynn, DJ, Gardy JL, Hancock REW, Brinkman FSL. 2010. Systems-Level Analyses of the Mammalian Innate Immune Response. Book chapter in Systems Biology for Signaling Networks, Springer Publishing, NY.
  • Mookherjee N, Lippert DN, Hamill P, Falsafi R, Nijnik A, Kindrachuk J, Pistolic J, Gardy J, Miri P, Naseer M, Foster LJ, Hancock RE. 2009. Intracellular receptor for human host defense peptide LL-37 in monocytes. J. Immunol. 183:2688-2696.
  • Gardy JL, Lynn, DJ, Brinkman FSL, Hancock REW. 2009. Systems biology of the innate immune response: emerging approaches and resources. Trends in Immunology 30:249-262.
  • Mookherjee NM, Hamill P, Gardy JL, Blimkie D, Falsafi R, Chikatamarla A, Arenillas DJ, Doria S, Kollmann TR, Hancock REW. 2008. Evaluation of defence peptide LL37-induced responses in mononuclear cells employing systems biology. Molecular BioSystems 5:483-496.
  • Barsky A, Munzner T, Gardy JL, Kincaid R. 2008. Cerebral: visualizing multiple experimental conditions on a graph with biological context. IEEE Transactions on Visualization and Computer Graphics. 14:1253-60.
  • Lynn DJ, Winsor GL, Chan C, Richard N, Laird MR, Barsky A, Gardy JL, Roche FM, Chan TH, Shah N, Lo R, Naseer M, Que J, Yau M, Acab M, Tulpan D, Whiteside MD, Chikatamarla A, Mah B, Munzner T, Hokamp K, Hancock RE, Brinkman FS. 2008. InnateDB: facilitating systems-level analyses of the mammalian innate immune response. Mol. Sys. Biol. 4:218.
  • Cosseau C, Devine DA, Dullaghan E, Gardy JL, Chikatamarla A, Gellatly S, Yu L, Pistolic J, Falsafi R, Tagg J, Hancock REW. 2008. The commensal Streptococcus salivarius K12 downregulates the innate immune response of human epithelial cells and promotes host-microbe homeostasis. Infect. Immunity. 76:4163-75.
  • Vivona S, Gardy JL, Ramachandran S, Brinkman FSL, Raghava GPS, Flower DR, Filippini F. Computer-aided biotechnology: from immunoinformatics to reverse vaccinology. Trends in Biotechnology. 26:190-200.
  • Brown KL, Cosseau C, Gardy JL, Hancock REW. 2007. Complexities of targeting innate immunity to treat infection. Trends in Immunology. 28:260-6.
  • Barsky A, Gardy JL, Hancock REW, Munzner T. 2007. Cerebral: a Cytoscape plugin for layout of and interaction with biological networks using subcellular localization annotation. Bioinformatics. 23:1040-2.
  • Gardy JL, Brinkman FSL. 2006. Methods for the prediction of periplasmic proteins, in The Periplasm, Michael Ehrmann ed. ASM Press. Washington, DC. ISBN 978-1-55581-398-7.
  • Gardy JL, Brinkman FSL. 2006. Methods for the computational prediction of protein subcellular localization in bacteria., Nature Reviews Microbiology. 4:741-51.
  • Rey S, Gardy JL, Brinkman FSL. 2005. Assessing the precision of high-throughput computational and laboratory approaches for the genome-wide identification of protein subcellular localization in bacteria. BMC Genomics, 6:162.
  • Lewenza S, Gardy JL, Brinkman FSL, Hancock REW. 2005. Genome-wide identification of Pseudomonas aeruginosa exported proteins using a consensus computational strategy combined with a laboratory-based PhoA fusion screen. Genome Res. 15(2):321-9.
  • Rey S, Acab M, Gardy JL, Laird MR, deFays K, Lambert C, Brinkman FSL. 2005. PSORTdb: a protein subcellular localization database for bacteria. Nucleic Acids Res. 33:D164-8.
  • Gardy JL, Laird MR, Chen F, Rey S, Walsh CJ, Ester M, Brinkman FSL. 2005. PSORTb v.2.0: expanded prediction of bacterial protein subcellular localization and insights gained from comparative proteome analysis. Bioinformatics. 21(5):617-23.
  • Gardy JL, Spencer C, Wang K, Ester M, Tusnady GE, Simon I, Hua S, deFays K, Lambert C, Nakai K, Brinkman FSL. 2003. PSORT-B: Improving protein subcellular localization prediction for Gram-negative bacteria. Nucleic Acids Res. 31(13):3613-7.
  • She R, Chen F, Wang K, Ester M, Gardy JL, Brinkman FSL. Frequent Subsequence-Based Prediction of Outer Membrane Proteins, in Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 436–445. ACM Press, New York, New York.

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