Sina Aghaei

Machine Learning Researcher at Meta

Los Angeles, California, United States
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Summary

👤
Senior
🎓
Top School
Sina Aghaei is a machine learning researcher with nine years of experience at the intersection of ML, optimization, and causal inference, currently applying those skills as a researcher at Meta. He earned a PhD in Operations Research from USC and was a postdoctoral fellow at Harvard, where he enhanced in-context sequential decision-making of LLMs for healthcare through supervised fine-tuning. Sina has a track record of turning research into practical systems—from designing interpretable, fair prescriptive models for LA housing allocation to shipping regression-detection tools at Snap that won internal recognition. He blends strong theoretical foundations with production-minded engineering, making complex models robust, interpretable, and actionable. Based in Los Angeles, he brings a cross-disciplinary perspective that bridges academic rigor and real-world social impact.
code9 years of coding experience
job6 years of employment as a software developer
bookDoctor of Philosophy - PhD, Operations Research, Doctor of Philosophy - PhD, Operations Research at University of Southern California
bookBachelor's Degree, Computer Engineering, Bachelor's Degree, Computer Engineering at Sharif University of Technology
languagesEnglish, Persian, Kurdish
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Github Skills (2)

decision-tree5
inference3

Programming languages (1)

Python

Github contributions (5)

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Contributions:7 commits, 3 pushes, 1 branch in 8 months
sinaaghaei/SPO

Nov 2020 - Nov 2020

Contributions:16 commits, 2 PRs, 9 pushes in 3 days
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