Hause Lin
Mila AI Policy Fellow at The World Bank
Cambridge, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolHause Lin is a multidisciplinary researcher-engineer with 11 years of experience designing and running large-scale digital field experiments that translate cognitive science into real-world interventions across academia, international development, and AI policy. At MIT, the World Bank, and now as a Mila AI Policy Fellow, he combines computational models of human decision-making, cloud-scale data engineering, and careful experimentation to reduce misinformation and hate speech at population scale. He has co-authored over 30 peer-reviewed papers and led some of the largest online trials that measurably changed behavior across millions of users. Equally comfortable writing production-quality code and scholarly analyses, he contributes to open-source tooling (notably robustness improvements to the widely used twarc Twitter archiving library) and builds libraries for local LLMs and chatbots to support persuasion research. Based in Cambridge, MA, Hause thrives at the intersection of AI, cognitive science, and policy, turning theoretical insights into deployable systems that shape digital behavior.
11 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, 4.0/4.0, Doctor of Philosophy - PhD, 4.0/4.0 at University of Toronto
Stackoverflow
679reputation
62kreached
6answers
11questions
Github Skills (12)
error-handling10
python10
apidoc9
api9
documentation7
favorites6
twitter6
numpy6
matplotlib6
scikit-learn6
r6
naming-conventions6
Programming languages (14)
Github contributions (5)
DocNow/twarc
Apr 2022 - Apr 2022
A command line tool (and Python library) for archiving Twitter JSON
Role in this project:
Back-end Developer
Back-end DeveloperContributions:5 commits, 1 PR, 1 issue in 1 day
Contributions summary:Hause primarily focused on improving the robustness of the `twarc` library. They addressed potential errors by raising `TypeError` exceptions when incorrect input types are used for `user_lookup` and updated documentation to clarify the expected inputs. In addition, they renamed `screen_name` to `user` in the API calls within the code, enhancing code clarity and consistency. These changes contribute to the overall stability and usability of the tool.
command-line-toolpython-librarypythontwitter-apitwitter
hauselin/ollama-r
Apr 2024 - Mar 2025
R library to run Ollama language models
Contributions:3 releases, 3 PRs, 170 pushes in 11 months
aiapillmllmsollama
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