Advisory Board
Professor Carola Schoenlieb

University of Cambridge

Carola-Bibiane Schönlieb is Professor of Applied Mathematics at the Department of Applied Mathematics and Theoretical Physics (DAMTP), University of Cambridge. There, she is head of the Cambridge Image Analysis group, Director of the Cantab Capital Institute for Mathematics of Information, Chair of the Centre for Data Driven Discovery and co-Director of the EPSRC Centre for Mathematics of Information in Healthcare. Since 2011 she is a fellow of Jesus College Cambridge and since 2016 a fellow of the Alan Turing Institute, London. She also currently holds the Chair of the Committee for Applications and Interdisciplinary Relations (CAIR) of the EMS.

Her current research interests focus on variational methods, partial differential equations and machine learning for image analysis, image processing and inverse imaging problems. She has active interdisciplinary collaborations with clinicians, biologists and physicists on biomedical imaging topics, chemical engineers and plant scientists on image sensing, as well as collaborations with artists and art conservators on digital art restoration.

Her research has been acknowledged by scientific prizes, among them the LMS Whitehead Prize 2016, the Philip Leverhulme Prize in 2017, the Calderon Prize 2019, and a Royal Society Wolfson fellowship in 2020, and by invitations to give plenary lectures at several renowned applied mathematics conferences, among them the SIAM conference on Imaging Science in 2014, the SIAM conference on Partial Differential Equations in 2015, the SIAM annual meeting in 2017, the Applied Inverse Problems Conference in 2019, the FOCM 2020 and the GAMM 2021.

Carola graduated from the Institute for Mathematics, University of Salzburg (Austria) in 2004. From 2004 to 2005 she held a teaching position in Salzburg. She received her PhD degree from the University of Cambridge (UK) in 2009. After one year of postdoctoral activity at the University of Göttingen (Germany), she became a Lecturer at Cambridge in 2010, promoted to Reader in 2015 and promoted to Professor in 2018.

Advisory Board Members

Professor Colin Please

University of Oxford

Professor Colin Please works on the mathematical modelling of physical phenomena arising in practical problems and interpreting the results into the original context. His research takes place at the interface of mathematics with other disciplines primarily engineering, and bioscience.

learn more

Professor Mark Peletier

Eindhoven University of Technology

Mark Peletier obtained an MSc in mathematics from Leiden University (cum laude), and a Diplôme d'Études Approfondies at the Laboratoire d'Analyse Numérique (now Laboratoire Jacques-Louis Lions) of Université Paris VI, both in 1992. He received his PhD at Leiden University (1997). His research interest focuses on differential equations and their applications to real-world systems.

learn more

Chair: Professor Rachel Kuske

Georgia Institute of Technology

Rachel Kuske is a Professor of Mathematics at Georgia Institute of Technology, where she was also department chair from 2017-2021. Most recently her research is in stochastic dynamics in multi-scale, delayed, or non-smooth systems, and in stochastic transitions or "tipping points”, with applications in energy, biology, mechanics, and climate systems.

learn more

Dr Simon Bittleston


Simon Bittleston worked for Schlumberger for 35 years. He joined Schlumberger Cambridge Research in 1985 as a scientist working in fluid mechanics on a range of complex and industrially relevant problems. This work resulted in a number of commercial products. Whilst at the lab he became a programme manager responsible for team of scientists.

learn more

Dr Jasmine Grimsley

London Data Company

Dr Jasmine Grimsley is Co-Founder and Chief Data Officer at the London Data Company. Prior to that she was Head of Science and Research in the Environmental Monitoring for Health Protection (EMHP) programme at the UK Health Security Agency (UKHSA).

learn more

Professor John Kent

University of Leeds

Professor John Kent did his undergraduate degree at Harvard University in Mathematics in and his PhD at Cambridge University in Statistics. He has spent the bulk of his academic career at Leeds University where he has been since 1977. He has wide interests across Statistics and Probability.

learn more