Muddy Dixon
Data Scientist
Greater Tokyo Area Japan
Summary
👤
Senior🎓
Top SchoolMuddy Dixon is a Data Scientist with 15 years of experience blending academic research in cognitive science and natural language acquisition from Kyoto University with hands-on engineering across media and cloud platforms. He has led data science teams as Chief Data Scientist and currently applies NLP, neural networks, and statistical learning to TV audience analytics at TVer, turning large-scale event logs into actionable product insights. His background includes full-stack and platform engineering—designing Hadoop/MongoDB clusters, AWS-based architectures, and IoT/edge solutions—so he comfortably bridges research models and production systems. An active contributor to backend projects, he improved error handling and robustness in a popular Node.js ORM, demonstrating attention to reliable data access patterns. Notably, his graduate work proposed a statistical learning account of syntax acquisition using RNNs and self-organizing maps trained on corpora with natural-language-like statistics, a perspective he continues to operationalize in industry-scale NLP applications. Based in Tokyo, he combines academic rigor with pragmatic product delivery across distributed systems and machine learning.
15 years of coding experience
14 years of employment as a software developer
Master, Cognitive Science and Natural Language Processing, Master, Cognitive Science and Natural Language Processing at Kyoto University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (8)
nodejs10
javascript10
orm10
bookshelfjs10
postgresql9
databases8
database8
testing7
Programming languages (11)
Github contributions (5)
bookshelf/bookshelf
Mar 2015 - Apr 2015
A simple Node.js ORM for PostgreSQL, MySQL and SQLite3 built on top of Knex.js
Role in this project:
Back-end Developer
Back-end DeveloperContributions:8 commits, 1 PR, 6 comments in 26 days
Contributions summary:Muddy primarily focused on improving the error handling and structure of the Bookshelf ORM. They modified the `lib/model.js` and `lib/collection.js` files to implement distinct error types for various scenarios, such as not found, no rows updated/deleted and collection issues. They also updated the `bookshelf.js` file to configure these errors and added tests to ensure proper error handling.
mysqlnode-jsjavascriptsqlsqlite3
muddydixon/fluent-plugin-anomalydetect
Dec 2012 - May 2019
Contributions:48 commits, 8 PRs, 7 pushes in 6 years 6 months
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