This event is in the past.It took place on May 26, 2026 at West Hall.

Statistical Foundations for Microplastic Identification: Efficient Sampling and Distribution-Free Uncertainty Quantification 1
Educational Talk
Statistical Foundations for Microplastic Identification: Efficient Sampling and Distribution-Free Uncertainty Quantification 2
Statistical Foundations for Microplastic Identification: Efficient Sampling and Distribution-Free Uncertainty Quantification 3
Statistical Foundations for Microplastic Identification: Efficient Sampling and Distribution-Free Uncertainty Quantification 4
Statistical Foundations for Microplastic Identification: Efficient Sampling and Distribution-Free Uncertainty Quantification 5

Statistical Foundations for Microplastic Identification: Efficient Sampling and Distribution-Free Uncertainty Quantification

May 26 at 1pm

At West Hall

Burns Park, Ann Arbor

🏛️Lovely old building with neat architecture

Dive into cutting-edge statistical methods tackling one of our planet's pressing pollution problems. This dissertation defense explores how machine learning and adaptive sampling can make microplastic identification faster and more reliable for environmental scientists.

academic dissertation
environmental science
machine learning methods
research presentation
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