Statistics and AI (organized by Rebecka Jörnsten, Tuesday June 10)

Confirmed speakers:

• Georgios Arvanitidis, Technical University of Denmark (DTU), Denmark
  Differential Geometry in Machine Learning: From generative modeling to Bayesian inference and beyond

• Fredrik Lindsten, Linköping University, Sweden
  Training-free guidance of generative AI models as Bayesian inference

• Oskar Allerbo, Royal Institute of Technology (KTH), Sweden
  Is it Enough to Include the Output after Training a Supervised Model?

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Functional data analysis (organized by Magne Thoresen, Tuesday June 10)

Confirmed speakers:

• Helle Sørensen, University of Copenhagen, Denmark
  Analysis of ice coverage in Baffin Bay from 1979 to 2023 as a functional time series

• Felix Ecker, Swedish University of Agricultural Science, Sweden
  Double robust estimation of functional outcomes with data missing at random

• Valeria Vitelli, University of Oslo, Norway
  Functional response regression models with latent variables

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Causal inference (organized by Jon Michael Gran, Wednesday June 11)

Confirmed speakers:

• Pawel Morzywolek, University of Washington, US
  Inference on Variable Importance Measures for Heterogeneous Treatment Effects

• Michael Schomaker, Ludwig Maximilian University of Munich, Germany
  Causal Inference with Continuous Exposures

• Elise Dumas, Federal Polytechnic School of Lausanne (EPFL), Switzerland
  Formulating and comparing adherence strategies for sustained treatment: a nationwide case study of five years of endocrine therapy in patients with breast cancer

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Statistics for personalized medicine (organized by Krista Fischer, Wednesday June 11)

Confirmed speakers:

• Doug Speed, Aarhus University, Denmark
  New tools for association testing, estimating heritability and constructing polygenic scores

• Manuela Zucknick, University of Oslo, Norway​
  Bayesian variable selection for multi-omics modelling and outcome prediction in precision oncology

• Zhiyu Yang, University of Helsinki, Finland
  Genetic Insights into Disease Onset and Progression

Statistics in Ecology (organized by Hans Julius Skaug, Thursday June 12)

Confirmed speakers:

• Olav Nikolai Breivik, Norwegian Computing Center, Norway
  Fish stock assessment

• Jan-Ole Koslik, Bielefeld University, Germany
  Latent Markov Models in Ecology: A Unifying Perspective

• Robert O'Hara, Norwegian University of Science and Technology (NTNU), Norway 
  Doing Large-scale Modeling of Species Distributions Properly

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