Elise Van Der Pol is a Senior Researcher at Microsoft with 13 years of experience focused on reinforcement learning and AI for science, building on a PhD in Reinforcement Learning from the University of Amsterdam. Her trajectory spans deep academic research—including a PhD and work on generative models—to industry roles such as a Research Scientist internship at DeepMind, reflecting a strong bridge between theory and applied ML. She earned a cum laude Master’s in Artificial Intelligence and has a background in web development and teaching, which gives her a practical, product-aware perspective on research. Based in Amsterdam, she combines rigorous experimental methodology with experience deploying research ideas toward scientific and real-world problems. An understated strength is her long-standing involvement in mentoring and academic leadership, which complements her technical contributions and collaboration across research teams.
13 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD, Reinforcement Learning, Doctor of Philosophy - PhD, Reinforcement Learning at UvA
Master, Artificial Intelligence (Machine Learning track), Cum Laude, Master, Artificial Intelligence (Machine Learning track), Cum Laude at University of Amsterdam
Contributions:4 commits, 3 pushes, 1 comment in 7 months
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