My work aims at making latent, ordinal intensity concepts measurable (conflict intensity, sentiment analysis, pain assessment...). I am a PhD student at the Institute for Machine Learning at ETH Zurich and have experience in industry (IBM AI Core, Microsoft Research, German Federal Foreign Office) and research (UCL, University of Oxford, Tsinghua University).
Research Fields
Applied Machine Learning, Natural Language Processing, Computational Social Science
Keywords
Ordinal Measurement, Applied Bayesian Statistics, Political Event Data, Numbers in Text
Ongoing Projects
Bayesian latent variable models for ordinal data
Extracting numbers from text with applications to victim counts extraction and word math problems
Humanitarian Action Challenge jointly with the International Committee of the Red Cross
↗ n [dot] stoehr [at] outlook [dot] com
My work aims at making latent, ordinal intensity concepts measurable (conflict intensity, sentiment analysis, pain assessment...). I am a PhD student at the Institute for Machine Learning at ETH Zurich and have experience in industry (IBM AI Core, Microsoft Research, German Federal Foreign Office) and research (UCL, University of Oxford, Tsinghua University).
Research Fields
Applied Machine Learning, Natural Language Processing, Computational Social Science
Keywords
Ordinal Measurement, Applied Bayesian Statistics, Political Event Data, Numbers in Text
PhD Advisors
Prof. Ryan Cotterell (ETH Zurich)
Prof. Robert West (EPFL)
Prof. Aaron Schein (University of Chicago)
Frequent Collaborators
Rycolab ETH
DLAB EPFL
Swiss Data Science Center
International Committee of the Red Cross
Mrinmaya's Lab
Prof. Joerg Friedrichs (Oxford ODID)
...
↗ n [dot] stoehr [at] outlook [dot] com