Deokgun Park
Research Scientist at Stanford University
Palo Alto, California, United States
Summary
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Senior🎓
Top SchoolDeokgun Park is a research scientist at Stanford University with 13 years of experience bridging neuroscience-inspired cognitive architectures and practical engineering. He pursues rodent- and canine-level navigation intelligence, critiquing current reinforcement learning as evolutionarily limited and building more biologically grounded systems. His academic path spans a PhD in Computer Science from University of Maryland and interdisciplinary MS degrees, and his career includes faculty experience as an assistant professor and research roles in wearable healthcare and product development. Active in long-term neural-net research since 2002, he brings rare continuity between early neural network work and contemporary cognitive modeling. Based in Palo Alto, he combines deep theoretical insight with hands-on system development informed by neurology and human-centered design.
13 years of coding experience
15 years of employment as a software developer
MS, Biomedical Engineering, MS, Biomedical Engineering at Seoul National UniversityThe University of Maryland, College ParkMS, Interdisciplinary Engineering, MS, Interdisciplinary Engineering at Purdue University
Korean, English
Github Skills (46)
prediction8
unity3d8
serve8
keras8
vector8
hierarchical8
visualizer7
intelligent7
deep-reinforcement-learning6
deep-learning6
anaconda6
simulations6
machine-learning6
pytorch6
cuda5
Programming languages (4)
Github contributions (5)
intuinno/ie690
Apr 2013 - May 2013
Contributions:14 commits in 13 days
intuinno/conceptvector
Dec 2015 - Dec 2018
Concept Vector
Contributions:144 commits, 8 PRs, 114 pushes in 3 years
vector
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