Summary
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.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Operations Research, Doctor of Philosophy - PhD, Operations Research at University of Southern California
Bachelor's Degree, Computer Engineering, Bachelor's Degree, Computer Engineering at Sharif University of Technology
English, Persian, Kurdish