Anastasios Angelopoulos is a leading researcher advancing uncertainty quantification and reliable machine learning. His work develops statistical tools like conformal prediction, enabling AI systems to output prediction sets with guaranteed coverage. Researchers and engineers benefit by building safer, more transparent models for high-stakes fields such as medical diagnosis and autonomous driving.
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