Mathematical aspects of inverse problems summer school
Speakers: Masoumeh Dashti (University of Sussex, UK); Michela Ottobre (Maxwell Institute, Edinburgh); Carola-Bibiane Schoenlieb and Clarice Poon (University of Cambridge, UK); Alison Fowler (University of Reading, UK)
Date: 29 August – 1 September
Day 1: 9:00 – 17:45
Day 2: 9:00 – 17:00
Day 3: 9:00 – 17:00
Day 4: 9:00 – 17:00
Venue: The Alan Turing Institute
To encourage the participation of female researchers, The Alan Turing Institute is offering scholarships to cover the travel and accommodation expenses for four female participants, to the value of £600.To apply for this funding, please get in touch with the following information by 7 July:
– a short CV (no more than two A4 pages)
– a short statement (no more than 150 words) describing your motivation to participate in the summer school
Registration is now closed.
The main aims of the school are to expose the participants to important mathematical concepts and related computational and algorithmic challenges, and to ensure that early career researchers obtain a solid background in some of the mathematical aspects of inverse problems, and the related areas of uncertainty quantification and data assimilation.
This workshop is suitable for PhD students and early career researchers with a maths-based degree.
Bayesian Approach to Inverse Problems
Masoumeh Dashti (University of Sussex, UK)
Hamiltonian Monte Carlo
Michela Ottobre (Maxwell Institute, Edinburgh)
A Comparison of Variational Methods and Deep Neural Networks for Inverse Problems
Carola-Bibiane Schoenlieb and Clarice Poon (University of Cambridge, UK)
The Value of Observations for Numerical Weather Prediction
Alison Fowler (University of Reading, UK)