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Topics: Data Assimilation, Inverse Problems, Machine Learning

This training school will be aimed at developing the fundamental mathematical and computational tools which underpin the subjects of data assimilation (DA) and machine learning (ML). It will be aimed at both graduate students from the mathematical sciences and from application domains in which DA and ML techniques are being used. Successful completion of the training school will equip participants to engage with the workshops which form part of the month long program.

Eldad Haber "Machine Learning"
Sebastian Reich "Data Assimilation"
Andrew Stuart "Inverse Problems"

See the complete schedule.

Participation is subject to approval by the organizers.