This three-day early-career workshop, to be held from 7–9 July 2027, is a satellite event of the 22nd APS-INFORMS Applied Probability Conference, which will take place at Durham University the following week. The conference is a major international forum for researchers and practitioners in applied probability and its applications.
The satellite workshop will consist of three mini-courses delivered by leading researchers in the field, each centered on topics that have recently become major areas of focus within applied probability. These courses will provide a structured introduction to contemporary methods, with an emphasis on developing a deep and usable understanding of the underlying ideas.
Beyond simple exposure, the primary objective is to help the participants build genuine research capability in these areas. By gaining familiarity and technical command of these modern techniques, participants will be better positioned to incorporate them into their own work, explore new problems, and engage with current research at a high level. This will enable participants to gain the greatest benefit from the APS-INFORMS Conference.
The satellite workshop will also include contributed talks and posters by early-career participants, and a session on employability in the mathematical sciences aimed specifically at early-career mathematicians.
Mini-courses:
Particle systems with boundary interaction: Hydrodynamic limits & mean-field dynamics – Rami Atar, Technion
Machine learning with learned distances – Matthieu Jonckheere, LAAS-CNRS
Stein’s method and applications in machine learning – Gesine Reinert, University of Oxford
Employability for Early-Career Mathematicians – Collin Bleak, University of St Andrews
Participation and Funding
Early-career researchers working in applied probability and closely related areas are invited to participate in the workshop. Participants will be encouraged to present their work either through a contributed talk or a poster. Contributed talks are expected to be between 15 and 20 minutes, depending on demand. Funding is available to support a limited number of early-career participants. Participants who require funding should submit a short statement of interest and submit their application to B.Buke@ed.ac.uk. Applications will be reviewed on a rolling basis from 15 February 2027 onwards. For the purposes of funding eligibility, we use the London Mathematical Society definition of early-career status: a PhD/research student or anyone who has completed their PhD in the last five years, excluding academic career breaks. Applications for funding will be considered by the organising committee in consultation with ICMS. In selecting funded participants, we will seek diversity in gender, geographical location and career stage, while prioritising candidates who have demonstrated a track record of excellence in research commensurate with their career stage.
