Alex Lamb
Professor at Tsinghua University
Beijing, China
Summary
👤
Senior🎓
Top SchoolAlex Lamb is a professor and AI researcher with 11 years of experience bridging industry and academia, most recently at Tsinghua University after a senior research role at Microsoft Research in NYC. He holds a PhD from the Montreal Institute for Learning Algorithms and has a track record of impactful applied ML work—from flu-tracking NLP at Johns Hopkins to demand forecasting at Amazon and a Google Brain internship. An active open-source contributor, Alex improved core usability of Theano by adding dictionary outputs and robust debug support, reflecting attention to developer ergonomics in foundational ML tooling. His research has earned mainstream coverage (CNN, MarketingProfs), signaling both technical depth and real-world relevance. Based in Beijing, he combines rigorous academic training with production-minded engineering, often translating research prototypes into tools used by practitioners.
11 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at Université de MontréalJohns Hopkins UniversityWPI
Github Skills (5)
back-end-development10
python10
theano10
machine-learning9
unit-testing8
Programming languages (5)
Github contributions (5)
Theano/Theano
Mar 2015 - Mar 2015
Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.com/pymc-devs/pytensor
Role in this project:
Back-end Developer
Back-end DeveloperContributions:28 commits, 3 PRs, 12 comments in 12 days
Contributions summary:Alex focused on enhancing the `theano` library's functionality by implementing a dictionary output feature for the `function` module. They created the necessary wrapper code and refactored it into the core function, enabling users to receive function outputs in a dictionary format. Further contributions included refining the output formatting, adding support for debug mode, and refining tests, showing a strong focus on functionality and usability improvements for developers working with Theano.
mathematical-expressionsmultidimensional-arrayspymcpythontheano
alexmlamb/undirected_matching
Mar 2017 - Sep 2017
Contributions:53 pushes, 1 branch in 5 months
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