Hanbin Go
Data Scientist
Canada
Summary
👤
Senior🎓
Top SchoolHanbin Go is a data scientist with a PhD in Cognitive Neuroscience and nine years of experience applying ML, AI, and advanced statistics to human-behaviour datasets. He validated a normative belief revision theory with six experiments, built PyTorch cascade-correlation models for probabilistic inference, and ran large-scale data collection pipelines that gathered responses from over 1,200 participants. Comfortable across Python, R, JavaScript and web tech, he has deployed gaze-contingent eye-tracking studies and engineered reproducible analysis workflows on Linux. As a mentor and instructor, he supervised research teams and taught computing courses, translating complex cognitive theories into practical experiments and code. Now at J.D. Power in Canada, he brings a rare blend of experimental rigor and production-minded data science that bridges human cognition research and real-world analytics.
9 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Cognitive Neuroscience, Doctor of Philosophy - PhD, Cognitive Neuroscience at University of Waterloo
Github Skills (7)
solidworks9
relational-algebra9
binder9
gift9
apl9
mathematica4
computer-algebra-system2
Programming languages (2)
Github contributions (5)
hanbingo/mind-theory-math-code
Jan 2022 - Jun 2022
For PSYCH670 UWaterloo W2022
Contributions:22 pushes in 4 months
uwaterloocomputer-algebra-systemsymbolic-mathmathematicaw2022
hanbingo/friendly-disco
Jan 2017 - Mar 2018
Contributions:4 pushes, 1 branch in 1 year 2 months
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