Invited Seminar: Machine Learning & the Chemical Master Equation

Date: Wednesday June 15 @ 09:00 – 10:00

Abstract / Learning Objectives: (include abstract as paragraph or learning objectives as bullet points)

Supplemental information:  

• Approximating Solutions of the Chemical Master Equation using Neural Networks
• Inference and Uncertainty Quantification of Stochastic Gene Expression via Synthetic Models

Presenter Biosketch: Kaan is a PhD student at the University of Edinburgh, Scotland working with Ramon Grima and Guido Sanguinetti. Coming from a pure maths background his research is in modelling and inference for stochastic biochemical systems, focusing on the Chemical Master Equation and its variants. He is currently working on likelihood-free inference and automated model reduction for stochastic models which are not easily amenable to standard methods.

Presenter Website: TBA

Presenter Email: kaan.ocal@ed.ac.uk

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