MLP Interviews - Leonie Bossemeyer

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Machine Learning Practical interviews - Winter 2020 - Session 2/4.

Leonie Bossmeyer is an MSc graduate in Data Science at the University of Edinburgh, and is currently an MSc student in Quantitative Economics at LMU Munich. Her research focusses on "density estimation", "normalizing flows", "deep learning", and "statistics" with the thesis title "CM Flows - Copula density estimation with normalizing flows". Leonie co-authored one of last year's IBM shortlisted MLP projects titled DamageGAN: Balancing Satellite Images of Natural Disasters Through Image-to-Image Translation.

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MLP Interviews - Leonie Bossemeyer

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