Han Hou
Scientist at Allen Institute for Neural Dynamics
Seattle, Washington, United States
Summary
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Senior🎓
Top SchoolHan Hou is a systems and computational neuroscientist with nine years of experience probing how brain-wide neural dynamics generate adaptive behavior, currently a Scientist at the Allen Institute for Neural Dynamics. He builds large-scale behavioral platforms and combines reinforcement learning, deep learning, and statistical approaches to infer latent cognitive variables and characterize value-based decision strategies. His work spans high-throughput Neuropixels recordings, optogenetic perturbations, and terabyte-scale spike-sorting pipelines developed at Janelia and Baylor, grounded in a PhD studying probabilistic population codes in macaques. Equally comfortable with wet-lab electrophysiology and production-grade data engineering, he creates interactive visualization tools to make complex neural datasets accessible to teams. Based in Seattle, he blends rigorous mathematical training from Tsinghua with hands-on experimental systems to bridge biological and artificial intelligence in service of interpretable models of behavior.
9 years of coding experience
14 years of employment as a software developer
Bachelor of Science - BS Mathematics and Physics, Bachelor of Science - BS Mathematics and Physics at Tsinghua UniversityDoctor of Philosophy - PhD Neuroscience, Doctor of Philosophy - PhD Neuroscience at Chinese Academy of Sciences
Stackoverflow
1reputation
0reached
0answers
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Github Skills (28)
ingest10
stochastic-processes9
neuroscience9
biomedical9
python8
system-analysis8
electrophysiology8
computational-neuroscience8
machine-learning7
data-analysis5
spike4
pipeline3
sorting3
computational-science3
visual-analytics3
Programming languages (8)
Github contributions (5)
hanhou/foraging-behavior-browser
Feb 2023 - Apr 2024
Foraging behavior browser (streamlit)
Contributions:1 release, 14 PRs, 137 pushes in 1 year 2 months
AllenNeuralDynamics/aind-foraging-behavior-bonsai-automatic-training
Dec 2023 - Nov 2024
automatic training for dynamic foraging
Contributions:4 releases, 2 reviews, 80 PRs in 11 months
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