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13th June 2019
09:30 to 10:00 Registration, Tea and Coffee
10:00 to 10:10 Welcome and Introduction - Update from Cantab Capital Institute for the Mathematics of Information Matthew Killeya (Cantab Capital Partners)
Carola-Bibiane Schönlieb (University of Cambridge)
Session 1: Session one
10:10 to 10:55 Unique Continuation, Approximation and Nonlocal Inverse Problems Angkana Ruland (Max-Planck-Institut für Mathematik, Leipzig)
10:55 to 11:40 Functional Data Analysis, Spatial Data Analysis and Partial Differential Equations: a Fruitful Union Laura Sangalli (Politecnico di Milano)
11:40 to 12:00 Tea and Coffee
Session 2: Elevator Pitches
12:00 to 12:35 Elevator Pitches
12:35 to 13:40 Lunch and Posters
Session 3: Session Three
13:40 to 14:25 Sampling with Confidence Ulrike Tillmann (University of Oxford)
14:25 to 15:10 Optimal Transport in Data Sciences Marco Cuturi (Ecole Nationale de la Statistique et de l'Administration Economique (ENSAE))
15:10 to 15:30 Tea and Coffee
Session 4: Session Four
15:30 to 16:15 Diffeomorphic Learning Laurent Younes (Johns Hopkins University)
16:15 to 17:00 Bayesian Inference for Geometric Inverse Problems Richard Nickl (University of Cambridge)
17:00 to 18:00 Drinks & Networking Reception