Oxford Mathematician Markus Dablander talks about his collaboration with Julius Berner and Philipp Grohs from the University of Vienna. Together they developed a new deep-learning-based method for the computationally efficient solution of high-dimensional parametric Kolmogorov PDEs.
Identifiability and inference for models in mathematical biology.
Abstract
Simple mathematical models have had remarkable successes in biology, framing how we understand a host of mechanisms and processes. However, with the advent of a host of new experimental technologies, the last ten years has seen an explosion in the amount and types of quantitative data now being generated. This sets a new challenge for the field – to develop, calibrate and analyse new, biologically realistic models to interpret these data. In this talk I will showcase how quantitative comparisons between models and data can help tease apart subtle details of biological mechanisms, as well as present some steps we have taken to tackle the mathematical challenges in developing models that are both identifiable and can be efficiently calibrated to quantitative data.
We continue this term with our flagship seminars given by notable scientists on topics that are relevant to Industrial and Applied Mathematics.
Note the new time of 12:00-13:00 on Thursdays.
This will give an opportunity for the entire community to attend and for speakers with childcare responsibilities to present.
with IceCube
beam dump experiment
14:30
“Chiral” field theory, fishnets and integrable spin chains
Abstract
In this talk I will review the work that has been done by me, N. Gromov, V. Kazakov, G. Korchemsky and G. Sizov on the analysis of fishnet Feynman graphs in a particular scaling limit of $\mathcal N=4$ SYM, a theory dubbed $\chi$FT$_4$. After introducing said theory, in which the Feynman graphs take a very simple fishnet form — in the planar limit — I will review how to exploit integrable techniques to compute these graphs and, consequently, extract the anomalous dimensions of a simple class of operators.
Please contact Erik Panzer or Ömer Gürdoğan to be added to the mailing list and receive joining instructions to the online seminar.