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< 2020 >
November
  • 03
    03.November.Tuesday

    Queen's University Special Recognition for Staff Awards

    All day
    2020.11.03

    The purpose of the Award is to recognize staff members who consistently provide outstanding contributions during their workday, directly or indirectly, to the learning and working environment at Queen’s University at a level significantly beyond what is usually expected (e.g. improving the workplace efficiency, quality of work life, customer service, problem-solving, etc.).

    Nominations will be accepted in two categories;

    1. Individuals
    2. Teams (a maximum of two awarded per year)

    For a group of individuals who share mutual responsibilities and demonstrate a cooperative team effort, the “team” aspect of their performance must be clearly identified and documented. There will be one certificate awarded for each successful “team” nomination.

    The Nomination and Selection process is confidential.

  • 18
    18.November.Wednesday

    BWRC and LEADERS Virtual Seminar Series - Laurence Yang

    14:30 -15:30
    2020.11.18

    Abstract

    The presence of antibiotic resistant bacteria in aquatic environments constitutes a public health issue. The mechanisms by which antibiotic tolerance is induced remain poorly understood in these environments. However, microbial stress responses are observed in contexts ranging from skin infection to treated wastewater and appear to play a key role for inducing antibiotic tolerance. We have developed a modeling framework that can predict microbial response to thermal, oxidative, and acid stresses. The models accurately compute how E. coli changes gene expression and metabolic states in response to these stresses, together with variations in nutrient availability. Furthermore, these models explain the molecular mechanisms underlying improved fitness observed for several microbes that were adaptively evolved under oxidative stress. We have extended the framework to enable complex simulations spanning intracellular reaction networks, microbial communities, and spatiotemporal transport in biofilms. We also dive deeper into the molecular mechanisms, computing properties of individual proteins from structure. This systems biology modeling suite can help predict microbial responses to emerging contaminants in water, and potentially be used to devise strategies for protecting water quality.

    Bio

    Dr. Laurence Yang is an Assistant Professor in Chemical Engineering at Queen’s and Queen’s National Scholar in Systems Biology. He earned a BSc, MASc and PhD all in Chemical Engineering from the University of Toronto. Prior to his arrival to Queen’s in 2019, he was an Assistant Project Scientist in the Department of Bioengineering at University of California San Diego, where he also completed a postdoctoral fellowship. Dr. Yang’s lab develops predictive models of cell metabolism, protein expression, and gene regulation. Specifically, they develop holistic models that integrate multiple biological processes and large-scale networks. Interpreting biological data in the context of these integrated models provides a systems-level perspective on cellular functions.

     

    Register in advance for this meeting:
    https://queensu.zoom.us/meeting/register/tJcucu2hqzksGdz4Q7vKo_WRmtNpocaAiYMQ

    After registering, you will receive a confirmation email containing information about joining the meeting.