cv.yml

- title: General Information
  type: map
  contents:
    - name: Full Name
      value: Elinor Poole-Dayan
    -

- title: Education
  type: time_table
  contents:
    - title: Master's of Science
      institution: Massachusetts Institute of Technology
      year: 2025
      description:
        - title: Supervised by
          contents:
            - Deb Roy
        - Center for Constructive Communication
    - title: Bachelor's in Honours Mathematics and Computer Science
      institution: McGill University
      year: 2023
      description:
        - Montreal, Canada

- title: Experience
  type: time_table
  contents:
    - title: Research Assistant
      institution: MIT Center for Constructive Communication
      year: 2023 - present
      # description:
      #   - Description 1.
      #   - Description 2.
      #   - title: Description 3.
      #     contents:
      #       - Sub-description 1.
      #       - Sub-description 2.
    - title: Data Science Intern
      institution: Unity Technologies
      year: 2022
      description:
        - Optimized deep learning algorithms to throttle bid requests in Unity's Ad Exchange using Tensorflow.
        - Decreased model training time by 25% and reduced model size and number of parameters by 50%.
        - Created a text data preprocessing pipeline on Google Cloud Platform Dataflow using Apache beam.
    - title: Undergraduate NLP Researcher
      institution: Mila Quebec
      year: 2021
      description:
        - Investigated the effect of gender debiasing on fine-tuned language models such as BERT using PyTorch.
        - Explored debiasing methods and reformulated bias metrics for racial and religious biases.
        - title: Supervised by
          contents: 
            - Siva Reddy
    - title: NLP Research Intern
      institution: Shamoon College of Engineering
      year: 2021
      description: 
        - Classified author gender of books to perform a case study on female authors who wrote under male pseudonyms.
        - Preprocessed data using CoreNLP and scikit-learn. Designed and implemented baseline experiments using SVMs.
        - title: Supervised by
          contents:
          - Irina Rabaev and Marina Litvak
    

# - title: Honors and Awards
#   type: time_table
#   contents:
#     - year: 1921
#       items:
#         - Nobel Prize in Physics
#         - Matteucci Medal
#     - year: 2029
#       items:
#         - Max Planck Medal

# - title: Academic Interests
#   type: nested_list
#   contents:
#     - title: Topic 1.
#       items:
#         - Description 1.
#         - Description 2.
#     - title: Topic 2.
#       items:
#         - Description 1.
#         - Description 2.

# - title: Other Interests
#   type: list
#   contents:
#     - <u>Hobbies:</u> Hobby 1, Hobby 2, etc.