CRiSM Event 21st - 23rd May 2025
CRiSM
Founded in 2006, CRiSM’s original aim was to increase capacity in statistics in the UK. Now CRiSM is the centre for all research in statistics (in the widest sense) at Warwick Statistics, one of the largest departments of statistics in the world. With dedicated CRiSM fellows - free to choose their own research agendas; multiple workshops and seminar series; PhD studentships; a broad visitor program; and hundreds of research publications each year, CRiSM seeks to foster excellence in Statistics, Probability, Mathematical Finance, Machine Learning, and Data Science, starting from fundamental methodological research and moving all the way through to impact.
Overview
We are holding a conference to mark the relaunch of CRiSM with its expanded scope and growing activities. The aim is to bring together a broad audience with interests across CRiSM's remit, covering theoretical & applied statistics, machine learning, probability, and mathematical finance. It will feature four keynote speakers as well as many invited talks, including a selection of current and former members of CRiSM. Our aim is to explore the broad challenges that will shape the research landscape during CRiSM's next chapter, to foster discussion between different parts of the research community, and to spark new collaborations.
The conference takes place over 21-23 May 2025 at the University of Warwick. It will combine plenary talks as well as parallel sessions featuring 20 invited speakers across four themes of: statistical theory & application, probability, computational statistics & machine learning, and mathematical finance. The programme and the full list of talks, poster presentations, and the three-day schedule can be found at the programme page.
You can register for the conference at the registration page up to Monday 5th May 2025. We also welcome submissions to the contributed poster session.
The following are confirmed as keynote speakers for this conference:
Tamara Broderick
Tamara Broderick is Associate Professor with tenure in the Department of Electrical Engineering and Computer Science at MIT, having completed her PhD in Statistics at the University of California, Berkeley in 2014. She works in the areas of machine learning and statistics, with interests in Bayesian statistics and graphical models emphasising scalable, nonparametric, and unsupervised learning. Recent awards include designation as an IMS Fellow, selection to the COPSS Leadership Academy, and an NSF CAREER Award.
Regina Liu
Regina Liu is Distinguished Professor at Rutgers University. She has made many contributions spanning research interests in data depth, fusion learning, confidence distribution, resampling, nonparametric and robust statistics, and aviation risk analysis. She has served as Editor of JASA Theory & Methods, as President of the IMS, and among her many recognitions are the 2021 Noether Award, the 2024 Elizabeth L. Scott Award, Elected Fellowships of the American Statistical Association and IMS, and the IMS Medallion Lecture.
Philip Ernst
Philip Ernst is Chair in Statistics and Royal Society Wolfson Fellow at Imperial College London's Dept of Mathematics, with broad interests covering applied probability, mathematical and computational finance, operations research, stochastic control, actuarial science, climate science, economics, and many others. Recognition includes the IMS Medallion Award for 2026, election to the COPSS Leadership Academy, and the inaugural Donald P. Gaver, Jr. Early Career Award for Excellence in Operations Research.
Jan Obloj
Jan Obloj is an Official Fellow of St John's College, University of Oxford, and a member of Oxford's Mathematics Institute and the Oxford-Man Institute of Quantitative Finance. His general interest is in the mathematics of randomness, sitting at the crossroads of various fields including probability theory, statistics, mathematical finance, operations research, and optimal transportation. He is currently President of the Bachelier Finance Society and Elected Fellow of the IMS, and was awarded the 2022 Hugo Steinhaus Award by the Polish Mathematical Society.
Speakers
John AstonLink opens in a new window (University of Cambridge)
Ioannis KosmidisLink opens in a new window (University of Warwick)
Helen OgdenLink opens in a new window (University of Southampton)
Judith RousseauLink opens in a new window (University of Oxford/Université Paris Dauphine)
Amy WilsonLink opens in a new window (University of Edinburgh)
Schedule
An outline schedule is below. All events (except lunches and wine reception) take place in the Zeeman building. A more detailed schedule can be found on the Programme page.
Wednesday 21 May | 14:30 - 15:00 | Registration and Coffee |
15:00 - 16:00 | Keynote Lecture | |
16:00 - 16:45 | Parallel Sessions | |
16:45 - 17:30 | Parallel Sessions | |
18:00 - 21:00 | Wine Reception and Posters in The Atrium | |
Thursday 22 May | 09:00 - 10:00 | Keynote Lecture |
10:00 - 10:45 | Parallel Sessions | |
10:45 - 11:15 | Coffee Break | |
11:15 - 12:00 | Parallel Sessions | |
12:00 - 12:45 | Parallel Sessions | |
12:45 - 14:15 | Lunch in The Atrium | |
14:15 - 15:15 | Keynote Lecture | |
15:15 - 16:00 | Parallel Sessions | |
16:00 - 16:20 | Coffee Break | |
16:20 - 17:05 | Parallel Sessions | |
Friday 23 May | 09:00 - 10:00 | Keynote Lecture |
10:00 - 10:45 | Parallel Sessions | |
10:45 - 11:15 | Coffee Break | |
11:15 - 12:00 |
Parallel Sessions | |
12:00 - 12:45 | Parallel Sessions | |
12:45 - 13:00 | Closing Remarks |
Organising committee
The conference Organisation Committee for 2025 is: Yudong Chen, John Fernley, Miryana Grigorova, Saul Jacka, Paul Jenkins, Gechun Liang, Sam Olesker-Taylor, Kathrin Schutrumpf, Andi Wang, Fan Wang; with additional Scientific Committee Saul Jacka, Paul Jenkins, Adam Johansen, and Yi Yu.