Riley Simmons-edler is a postdoctoral researcher with a decade of experience in deep reinforcement learning, currently based at Harvard after completing a PhD at Princeton under Prof. Sebastian Seung. Their work spans fundamental RL methods and applied domains like robotics and program synthesis, with particular strengths in exploration, generalization, biologically inspired RL, and practical efficiency. Riley spent three years as a research intern at Samsung AI Center NYC collaborating with Sebastian Seung and Daniel Lee on robotic RL and also explored acoustic sensing as a side project. Known for bridging theoretical insight with real-world robotics experiments, they focus on making RL methods more robust and deployable.
10 years of coding experience
Bachelor of Arts - BA, Computer Science, Bachelor of Arts - BA, Computer Science at New York University
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Princeton University
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Riley Simmons-edler - Postdoctoral Researcher at Harvard University