Education

• MSc in Computing, Field of Study in Artificial Intelligence, Queen’s University, expected April 2023
  • NSERC Canadian Graduate Scholarship - Master’s (2021-2022)
  • Vector Scholarship in Artificial Intelligence (2021-2022)
  • Master’s Tri-Agency Recipient Recognition Award (2021-2022)
• BSc in Computer Science and Mathematics, Trent University, 2021

Research experience

• NSERC Undergraduate Student Research Award, Summer 2021
  • Researched methods for interpreting a model’s latent space and applied interpretability techniques to DreamerV2, a reinforcement learning agent trained on Atari games with a partially discretized latent space
  • Created and performed tests to identify whether game concepts were easily identifiable in the latent encodings. Determined concepts were not easily separable, suggesting room for future improvements
  • Project page: ellamorgan.ca/portfolio/2-dreamerv2-eval
• NSERC Undergraduate Student Research Award, Summer 2020
  • Assisted in creating a novel deep learning model that learned to predict time series on graphs. Model outperformed other state-of-the-art spatio-temporal models on the ability to remember long term dependencies across nodes in the graph
  • Found, processed and cleaned 6 traffic and bike network datasets and created a synthetic dataset
  • Reorganized and maintained the code base and set up a comparison with a competing model
  • Project page: ellamorgan.ca/portfolio/3-gm-lstm
• NSERC Undergraduate Student Research Award, Summer 2019
  • Implemented and compared methods for making regression predictions with intervals that convey uncertainty. Evaluated which methods best conveyed their uncertainty based on the size of intervals and whether they reflected the accuracy
  • Presented results at AMMCS 2019 and was published in the conference proceedings
  • Links to paper and code can be found here: ellamorgan.ca/portfolio/4-pred-intervals

Course projects

• Solving Puzzles with Reinforcement Learning, Winter 2022
  • Applied deep Q-Learning and discretized autoencoders to solve sliding tile puzzles given images of the states
  • Code: github.com/ellamorgan/solving-puzzles-rl
• Academic Paper Replication, Fall 2021
  • Replicated the deep learning components of LatPlan, which learns PDDL planning models from noisy observations
  • Code: github.com/ellamorgan/latplan-pytorch
• Evolving Finite Automata, Fall 2021
  • Used genetic programming to evolve finite automata given examples of strings that have a shared pattern
  • Code: github.com/ellamorgan/evolving-automata
• Report on Matroid Theory, Spring 2020
  • Completed as part of my Undergraduate Mathematics Honours Project at Trent University
  • Link to report: Matroid Theory Report

Work experience

• Teaching Assistant, Sep 2019 - Apr 2021 (Trent University), Sep 2022 - ongoing (Queen’s University)
  • Led seminars, recorded seminar videos, and held office hours for Calculus III, Probability, and Applied Calculus
  • Marked tests, assignments, and/or exams for Formal Methods in Software Engineering, Numerical and Computational Methods, Data Structures and Algorithms, Probability, Applied Calculus, Math for Everyday Life, and Digital World

Other

• RCM Level 10 Piano (2021)