Stephan Zheng

Founder And CEO at Asari AI

San Francisco, California, United States
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Summary

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Rockstar
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Top School
Stephan Zheng is a founder and CEO based in San Francisco who builds AI agents to "co-invent" the future, drawing on 11 years of experience at the intersection of machine learning research and product. He led the AI Economist team at Salesforce Research and contributed to the well-known ai-economist framework, marrying reinforcement learning with socio-economic modeling. Trained as a theoretical physicist with a PhD from Caltech and advanced math at Cambridge, he brings a rigorous, quantitative mindset to applied AI. His background includes deep learning research stints at Google and hands-on engineering in finance, reflecting a rare blend of theory, production ML, and domain breadth.
code11 years of coding experience
job6 years of employment as a software developer
bookMASt (Cantab) Mathematics, MASt (Cantab) Mathematics at University of Cambridge
bookCalifornia Institute of Technology
bookPhysics Mathematics, Physics Mathematics at Harvard University
bookMSc Theoretical Physics, MSc Theoretical Physics at Utrecht University
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Github Skills (8)

deep-reinforcement-learning10
simulation-framework10
python10
ai10
ml10
economics10
setuptools9
py9

Programming languages (2)

JavaScriptPython

Github contributions (5)

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salesforce/ai-economist

Aug 2020 - May 2022

Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).
Role in this project:
userML Engineer
Contributions:39 reviews, 31 commits, 18 PRs in 1 year 9 months
Contributions summary:Stephan made modifications related to setting up and configuring the AI-Economist project, focusing on improving the installation process and project description. Contributions include updating the setup.py file to reflect the correct author names and project description. They also removed Colab notebooks from tutorials. These changes suggest involvement in project maintainability, documentation, and user experience for a machine learning research project.
behaviorsfairness-mlsimulation-frameworkmahjongdeep-reinforcement-learning
Contributions:161 pushes, 1 branch in 5 years 3 months
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