Declan Oller
Research Scientist At Sony AI at SonyAI
Somerville, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolDeclan Oller is a research scientist at Sony AI with eight years of experience blending physics-led rigor and machine learning innovation. He earned a PhD in physics from Brown and a dual undergraduate degree in physics and mathematics, and now focuses on reinforcement learning, optimization, and program synthesis in applied research and product settings. Prior roles include AI engineering at Sony and consulting in ML and optimization, plus math modeling for a major medical center, giving him a rare mix of academic depth and real-world impact. Declan is comfortable taking ideas from theoretical formulation to practical implementation and publishes work and projects that bridge optimization theory and scalable RL systems. Based in Somerville, MA, he brings a physicist’s intuition for modeling complex systems alongside hands-on engineering experience.
8 years of coding experience
6 years of employment as a software developer
Bachelor's degree, Physics, Mathematics, Bachelor's degree, Physics, Mathematics at Clark UniversityDoctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at Brown University
Github Skills (28)
python9
machine-learning9
tensorflow9
deep-learning9
obsidian8
api8
query-language8
reinforcement-learning-environments8
neural-network8
data-science8
ml7
openai-gym7
gymnasium7
deep-neural-networks7
reinforcement-learning7
Programming languages (4)
Github contributions (5)
declanoller/rwg-benchmark
Feb 2020 - Aug 2020
Analyzing Reinforcement Learning Benchmarks with Random Weight Guessing
Contributions:12 commits, 2 PRs, 9 pushes in 6 months
analyzingbenchmarkingreinforcement-learningdeep-reinforcement-learningmachine-learning
declanoller/robot_car
Oct 2018 - Mar 2019
Contributions:42 commits, 38 pushes, 1 branch in 5 months
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