Julia Lanoue

Data Analyst at Imperial College London
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Contact Information
us****@****om
(386) 825-5501
Location
London Area, United Kingdom, GB

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Credentials

  • Introduction to Web APIs
    LinkedIn
    Jun, 2020
    - Nov, 2024
  • Programming Foundations: Version Control with Git
    LinkedIn
    Jun, 2020
    - Nov, 2024
  • Learning QGIS
    LinkedIn
    Apr, 2020
    - Nov, 2024
  • SQL Essential Training
    LinkedIn
    Apr, 2020
    - Nov, 2024
  • SAS Programming 1: Essentials
    SAS
    Mar, 2020
    - Nov, 2024
  • SAS Programming for R Users
    SAS
    Mar, 2020
    - Nov, 2024

Experience

    • Research Services
    • 700 & Above Employee
    • Data Analyst
      • Mar 2020 - Present

    • United Kingdom
    • Environmental Services
    • 1 - 100 Employee
    • Data Officer
      • Sep 2018 - Jan 2020

      - Designed and executed two research projects collating and assessing the quality of open access environmental and fisheries data on the Thames Estuary. - Created scripts to automate data cleaning and standardization for statistical analyses using R and Git. - Coordinated the 2019 Summer Networking Event at the House of Commons, including management of ticket purchases, guest lists, and social media promotion.

    • Research Services
    • 700 & Above Employee
    • Postgraduate Student
      • Sep 2017 - Sep 2018

    • Research Intern
      • Jun 2016 - Aug 2016

      - Collaborated with landscape architects to develop a project researching the efficacy of artificial floating habitat to restore fish populations in the Milawaukee River- Collected and identified freshwater zooplankton species using a plankton tow and dichotomous key- Managed and conducted statistical analyses on the data using R statistical software- Produced a written report and presentation on the findings to stakeholders and grant donors

    • Research Services
    • 700 & Above Employee
    • Guest Student Researcher
      • Oct 2015 - May 2016

      - Collaborated with the Hudson River Foundation to develop a model to determine the optimal locations for oyster restoration given channel deepening in the Hudson River Estuary - Determined a method to link the individual growth model to a population growth model - Assessed and quantified the effects of channel deepening on both the individual and population scale through a series of simulations

    • Research Services
    • 700 & Above Employee
    • Summer Student Fellow
      • Jun 2015 - Aug 2015

      - Developed and conducted a research project investigating the effects of channel deepening on oyster productivity in the Hudson River Estuary - Determined an appropriate growth model from literature review and selected sites to model changes in productivity - Coded and ran the model in R statistical software using data collected from the study sites

    • United States
    • Higher Education
    • 700 & Above Employee
    • Student Historical Researcher
      • Feb 2015 - May 2015

      - Used library and database resources to gather information on perceptions of species abundance from colonial settlers in New England- Provided weekly reports summarising information

    • Coastal Biology Flagship Fellow
      • Jun 2014 - Aug 2014

      - Sponsored by Coastal Biology Flagship Program at the University of North Florida- Assisted in data collection and data entry for various projects at the site. - Conducted a guided research project exploring the effects of harvesting on oyster population density which included writing a research proposal and creating a poster to display the findings - Applied statistical tools such as R and Excel for data analysis and utilized GIS ArcMap to create a map to display the study sites

    • Aquarium Technician
      • Oct 2012 - May 2013

      - Assisted in teaching and coordinating the marine biology club at Paul Cuffee High School. - Taught students scientific concepts such as observation, development of hypotheses, implementation of an experiment, and presentation of results through various activities including observing live fish, dissecting fish, recording fish movement through a slow-motion camera, and calculating speed and conversion ratios.- Demonstrated biological concepts through presentations, worksheets, and dissections. - Assisted students in distinguishing credible sources for research and creating a guide for an animal with the gathered facts. - Maintained fish tanks using both electric and non-electric water pumps.

Education

  • Imperial College London
    Master of Research (M.Res.), Computational Methods in Ecology and Evolution
    2017 - 2018
  • Brown University
    Bachelor of Science (B.Sc.) with Honors, Environmental Science
    2012 - 2016

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