I am currently a postdoc in the department of statistics at Lund university and interested in deep generative models, Bayesian inference and deep neural networks.

Teaching

• Advanced Applied Statistics and Multivariate Calculus

  BSc In Computer Science, IT University of Copenhagen, Spring 2021

• Machine Learning

  BSc In Data Science, IT University of Copenhagen, Autumn 2020

• Denoising and variational autoencoders

  MCnet Machine Learning school, Lund University, Summer 2020

  Code

Publications

• Deep learning for inverse problems in quantum mechanics

  DOI: 10.1002/qua.26599

• Variational auto-encoders with Student’s t-prior

  arxiv.2004.02581

  Code

• Establishing strong imputation performance of a denoising autoencoder in a wide range of missing data problems

  arxiv.2004.02584