# Prof. Terry Lyons FLSW FRSE FRS

**Address**

Mathematical Institute

University of Oxford

Andrew Wiles Building

Radcliffe Observatory Quarter

Woodstock Road

Oxford

OX2 6GG

*Lyons, T*

*Qian, Z*

*(2002)*

I am the Wallis Professor of Mathematics; I was a founding member (2007) of, and then Director (2011-2015) of, the Oxford Man Institute of Quantitative Finance; I was the Director of the Wales Institute of Mathematical and Computational Sciences (WIMCS; 2008-2011). I came to Oxford in 2000 having previously been Professor of Mathematics at Imperial College London (1993-2000), and before that I held the Colin Maclaurin Chair at Edinburgh (1985-93).

My long-term research interests are all focused on Rough Paths, Stochastic Analysis, and applications - particularly to Finance and more generally to the summarsing of large complex data. That is to say I am interested in developing mathematical tools that can be used to effectively model and describe high dimensional systems that exhibit randomness. This involves me in a wide range of problems from pure mathematical ones to questions of efficient numerical calculation.

*Zhang, Z*

*Lu, F*

*Lyons, T*

*Kevrekidis, Y*

*Woolf, T*

*Fei, E*

*(30 Jan 2023)*

*Hayakawa, S*

*Lyons, T*

*Oberhauser, H*

*Probability Theory and Related Fields*

*(07 Jan 2023)*

*Wu, Y*

*Goodwin, G*

*Lyons, T*

*Saunders, K*

*PLOS ONE*

*volume 17*

*issue 11*

*e0276821-e0276821*

*(17 Nov 2022)*

*Lyons, T*

*McLeod, A*

*Boutaib, Y*

*Lyons, T*

*Annales de la Faculté des sciences de Toulouse : Mathématiques*

*volume 31*

*issue 4*

*1223-1258*

*(28 Oct 2022)*

*Hayakawa, S*

*Lyons, T*

*Oberhauser, H*

*(11 Oct 2022)*

*Morrill, J*

*Kidger, P*

*Yang, L*

*Lyons, T*

*Transactions on Machine Learning Research*

*volume 2022*

*issue 9*

*(08 Sep 2022)*

*Foster, J*

*Lyons, T*

*Margarint, V*

*Journal of Statistical Physics*

*volume 189*

*issue 2*

*(03 Sep 2022)*

*Ibrahim, M*

*Lyons, T*

*IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops*

*volume 2022-June*

*3648-3658*

*(23 Aug 2022)*

*Salvi, C*

*Lemercier, M*

*Liu, C*

*Horvath, B*

*Damoulas, T*

*Lyons, T*

*Advances in Neural Information Processing Systems 34 (NeurIPS 2021)*

*volume 20*

*16635-16647*

*(01 May 2022)*

*Moore, P*

*Iliant, T*

*Ion, F*

*Wu, Y*

*Lyons, T*

*ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)*

*3808-3812*

*(27 Apr 2022)*

*Yang, W*

*Lyons, T*

*Ni, H*

*Schmid, C*

*Jin, L*

*Stochastic Analysis, Filtering, and Stochastic Optimization*

*(22 Apr 2022)*

*http://arxiv.org/abs/1707.03993v2*

*Liao, S*

*Lyons, T*

*Yang, W*

*Schlegel, K*

*Ni, H*

*Proceedings of the 32nd British Machine Vision Conference*

*(25 Nov 2021)*

*Diehl, J*

*Lyons, T*

*Preiß, R*

*Reizenstein, J*

*(08 Jul 2021)*

*http://arxiv.org/abs/2002.02338v2*

*Morrill, J*

*Salvi, C*

*Kidger, P*

*Foster, J*

*7829-7838*

*(01 Jul 2021)*

*Kidger, P*

*Foster, J*

*Li, X*

*Oberhauser, H*

*Lyons, T*

*5453-5463*

*(01 Jul 2021)*

*Kidger, P*

*Chen, R*

*Lyons, T*

*5443-5452*

*(01 Jul 2021)*

*Cass, T*

*Lyons, T*

*Xu, X*

*(01 Jul 2021)*

*Morrill, J*

*Kidger, P*

*Yang, L*

*Lyons, T*

*(21 Jun 2021)*

Stochastic analysis. This is the area of mathematics relating to the rigorous description of high-dimensional systems that have randomness. It is an area of wide-reaching importance. Virtually all areas of applied mathematics today involve considerations of randomness, and a mobile phone would not work without taking advantage of it. Those who provide fixed-rate mortgages have to take full account of it. My interests are in identifying the fundamental language and the basic results that are required to model the interaction between highly oscillatory systems where the usual calculus is inappropriate. If you google ‘Rough Paths’ and ‘Lyons’ you will find further information. My St Flour Lecture notes provide a straightforward technical introduction with all the details put as simply as possible. A more general introduction can be found in my talk/paper to the European Mathematical Society in Stockholm in 2002.

My approach is that of a pure mathematician, but my research has consequences for numerical methods, finance, sound compression and filtering. At the moment I am (speculatively) exploring their usefulness in understanding sudden shocks on dynamical systems, and also trying to understand the implications for geometric measure theory. The focus of my research directed to ‘Rough paths’ can be viewed as a successful approach to understanding certain types of non-rectifiable currents.

I actively look for applications in the mathematics I do, but my experience has led me to believe strongly in the importance of being rigorous in the development of the core mathematical ideas. For me, the word proof is synonymous with the more palatable ‘precise, convincing and detailed explanation’, and I believe it is important, even essential, to find rigorous proofs of the key mathematical intuitions so that mathematics can reliably grow and ideas can be passed on to the next generation.