Rares Cristian is a research scientist and MIT PhD candidate in Operations Research (graduating May 2025) who builds methods at the intersection of machine learning and optimization to make AI cognizant of its downstream decision-making impact. With a decade of industry experience including multiple internships and a research scientist role at Meta, he blends production-grade software engineering (C++, databases, streaming systems) with applied research on end-to-end learning for optimization. His work on detecting cross-item demand effects at Oracle demonstrates a practical bent for embedding-based solutions that bridge forecasting and prescriptive analytics. Based in Cambridge, he brings a rare combination of academic rigor and hands-on systems experience that accelerates moving ML-from-concept into decision-aware deployments.
Contributions:307 commits, 157 pushes, 1 branch in 3 years 4 months
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