Profile
I am currently pursuing a Ph.D. at the RLAI Lab at the University of Alberta, supervised by Rich Sutton. My research focuses on designing reinforcement learning algorithms capable of continually learning from any data stream. I am particularly interested in approaching the problem from a deep learning perspective—developing algorithms that leverage increased computational capacity to learn better representations of the agent's data stream. I am also an AI Lead at the ExperienceFlow superintelligence lab in Edmonton, where we are advancing these ideas and deploying them in real-world applications.
Education

Ph.D. Computer Science

University of Alberta | September 2025 - Present
Supervised by Rich Sutton

Thesis-based M.Sc. Computer Science

3.9 GPA
University of Alberta | September 2021 - March 2023
Supervised by Marlos Machado & Adam White

B.S. Computer Science

3.58 GPA
University of Rochester | August 2016 - December 2019
Whipple Science & Research Scholarship

Experience

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, AB

Trained 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, AB

Researched 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, CA

Led 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, CA

Worked 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 | Remote

Analyzed 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/@EdanMeyer

Over 2.5 million views and 75K subscribers across 100 videos on AI/ML research, including videos on my own research.

Publications
Skills

Technical Skills: PyTorch, Jax, Git, Reinforcement Learning, Deep Learning, Classical ML

Programming Languages: Python, C++, Java, Rust

Spoken Languages: English (Native), Japanese (Business Fluency)