Thesis-based M.Sc. Computer Science
3.9 GPAUniversity of Alberta | September 2021 - March 2023
Supervised by Marlos Machado & Adam White
B.S. Computer Science
3.58 GPAUniversity of Rochester | August 2016 - December 2019
Whipple Science & Research Scholarship
AI Lead @ ExperienceFlow
October 2024 - Present | Edmonton, AB (Remote)Building a general purpose continual RL agent capable of piecing together disparate information from across an organization to learn patterns that can be used for operational decision making.
Chief Technology Officer @ Intract
January 2024 - August 2024 | Edmonton, ABTrained LLM agents to write code with multi-step STF and reinforcement learning. Open sourced an API for our personalized AI code completion tool. Developed a VSCode programming assistant extension.
Research Intern @ Huawei
April 2023 - January 2024 | Edmonton, ABResearched continual training of LLMs and reinforcement learning. Collaborated on a proposal to decide the company's future research direction with respect to continual learning.
Software Development Engineer @ Amazon Lab126
April 2020 - April 2021 | Sunnyvale, CALed the accuracy analysis and improvement project on the Alexa Weather team. Identified and implemented changes that improved accuracy for over 1 million users. Led my team's project to switch our experimentation framework for testing new features. Ran experiments that resulted in 5 new Alexa Weather features.
Software Engineering Intern @ Google
May 2019 - August 2019 | Mountain View, CAWorked on the Google Assistant team, using NLP to build support for many languages. Collaborated with Google Translate to develop better metrics for measuring machine translation systems.
Machine Learning Engineer @ Intellihot
April 2018 - May 2019 | RemoteAnalyzed data from the company's products and created models to generate future predictions, working with machine learning concepts from clustering to deep learning. Developed one of the internal Flask APIs connecting the data platform and analysis programs.
AI/ML Content Creator
2017 - Present | youtube.com/@EdanMeyerOver 2.5 million views and 75K subscribers across 100 videos on AI/ML research, including videos on my own research.
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The World Is Bigger: A Computationally-Embedded Perspective on the Big World Hypothesis
Alex Lewandowski, Aditya A Ramesh, Edan Meyer, Dale Schuurmans, Marlos C Machado
NeurIPS, 2025 -
Harnessing Discrete Representations for Continual Reinforcement Learning
Edan Meyer, Adam White & Marlos C. Machado
Reinforcement Learning Conference (RLC), 2024 -
Characterizing Discrete Representations for Reinforcement Learning
Edan Meyer
Master's Thesis, 2023
Technical Skills: PyTorch, Jax, Git, Reinforcement Learning, Deep Learning, Classical ML
Programming Languages: Python, C++, Java, Rust
Spoken Languages: English (Native), Japanese (Business Fluency)