Tina Nane

Tina Nane is an Assistant Professor of Applied Probability at Delft University of Technology since 2015. She is the responsible lecturer for BSc and MSc courses in decision theory and structured expert judgement and has conducted training workshops for structured expert judgment methods. Her current research primarily focuses on uncertainty quantification and analysis, both data-driven and by employing expert opinions, both from an applied, as well as from a theoretical perspective. The structured expert judgment applications span over a variety of areas, including source attribution of food and waterborne illnesses in U.S., dike failure assessments in The Netherlands or citation analysis. Tina has a PhD in Statistics and a cum laude MSc in Risk and Environmental Modelling from Deft University of Technology. Her MSc project focused on the risk assessment of merging and spacing airborne protocols. This work was the result of a close collaboration with NASA Langley Research Centre. The project was not only Tina's first encounter with a concrete application of uncertainty quantification and the use of structured expert judgment, but also an opportunity to hold and organize uncertainty quantification training workshops for NASA. This triggered an ongoing academic interest and a strong passion for knowledge dissemination.

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Decision Making Under Uncertainty: Introduction to Structured Expert Judgment (edX)

Self Paced
Decision Making Under Uncertainty: Introduction to Structured Expert Judgment (edX)
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Don't let the absence of data or the lack of appropriate data affect your decision-making. Learn how expert opinion can be used rigorously for uncertainty quantification. In an increasingly data-driven world, data and its use aren't always all it's cracked up to be. This course aims to address the [...]