Conditional likelihood – the key to analyzing infectious disease transmission in close contact groups

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Estimating the causal effect on a proportional change in probability -- an application to measuring vaccine effectiveness

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Data science enabled decision-making in advanced manufacturing and personalized safety

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The advancements of sensing and information technology have brought significant opportunities to engineering systems, where data containing rich streaming and heterogenous information are collected in manufacturing, occupational, and other systems. However, there is a lack of systematic methodologies to address these high dimensional, streaming, and heterogenous information and support engineering systems decision-making.

On integrative statistical learning approach for cancer genomics and microbial science

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Bayesian and machine learning frameworks for studying climate anomalies and social conflicts

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Congratulations to Jeevan Jankar for being awarded the 2023 George Hugh Boyd Memorial Scholarship. Recipients of this award are expected to have high moral and academic standards and a philosophy of giving back to the community the best they have to offer. Jeevan’s research is broadly focused on developing statistical methodologies and applications in the Design of Experiments (DoE) and Computer Experiments (CE).