Alex Kearney is a Reinforcement Learning scientist and co-founder based in Edmonton with 11 years of experience translating RL research into real-world systems. After a PhD at the University of Alberta and formative internships, he contributed as a research scientist at DeepMind and now leads an AI startup, blending rigorous academic methods with product-focused engineering. His work centers on how agents build knowledge through interaction, with practical advances in step-size adaptation and representation learning that improved TD learning stability and on-device robotics performance. Comfortable moving between lab and industry, he has a track record of shipping ML research (from prosthetic control systems to scalable RL methods) and mentoring teams across academia and startups. Notably, he has repeatedly demonstrated an ability to make theoretically grounded algorithms robust to real-world initialization and deployment challenges.
11 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Alberta
Bachelor of Science (B.Sc.) Artificial Intelligence and Computer Science, Bachelor of Science (B.Sc.) Artificial Intelligence and Computer Science at The University of Edinburgh
Honors High School Diploma, Honors High School Diploma at Brentwood College School
Contributions:3 commits, 1 PR, 2 pushes in 1 year 6 months
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