This week-long tutorial, held during the first week of the long program, will provide PhD students and postdocs with an introduction to the mathematical, statistical, and computational concepts that underlie data assimilation for digital twins. Morning lectures will focus on the rigorous foundations of data assimilation, while afternoon hands-on sessions will put into practice the material from the lectures. Topics will include variational and Monte Carlo algorithms for data assimilation, control-theoretic analysis of long-time accuracy of data assimilation algorithms, notions of effective dimension, non-asymptotic analysis of ensemble Kalman methods, and a survey of novel techniques to blend data assimilation and machine learning. The presentation will be aimed at a broad audience of PhD students and postdocs in the mathematical, statistical, and computational sciences and engineering. A poster session will provide attendees with an opportunity to showcase their research.
Poster Session
This workshop will include a poster session for early career researchers (including graduate students). In order to propose a poster, you must first register for the workshop, and then submit a proposal using the form that will become available on this page after you register. The registration form should not be used to propose a poster.
The deadline for proposing is August 17, 2025. If your proposal is accepted, you should plan to attend the event in-person.
IMSI is committed to making all of our programs and events inclusive and accessible. Contact [email protected] to request accommodations.
In order to register for this workshop, you must have an IMSI account and be logged in. Please use one of the buttons below to login or create an account.