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Helga Kristin Olafsdottir is a Postdoctoral researcher specializing in applied mathematics and statistics, with a focus on extreme value theory and non-Gaussian models alongside spatial statistics. Her research interests encompass extreme rainfall modeling and the implications of climate change, particularly in relation to proper scoring rules and extreme value inference. In 2024, she will publish work on locally tail-scale invariant scoring rules for evaluating extreme value forecasts and has previously co-authored papers discussing model evaluation and applications in extreme rainfall under climate change scenarios. Her notable research contributions include exploring how exact gradients can enhance parameter estimation in nonlinear mixed effects models, showcased in her work published in 2018 in the Aaps Journal. Olafsdottir has actively participated in international conferences such as ACoP8, presenting findings on pharmacokinetics and pharmacodynamics, further establishing her presence in the academic community.
Administered by the Department of Political Science; focus on International Administration and Global Governance (IAGG).