Searching for answers to pretty much anything on mobile devices is so omnipresent nowadays that most people are unaware of the intrinsic complexity of such tasks.

How does your favourite search engine come up with an ordeal list of answers to your (perhaps ambiguous) query? How does your social media platform know that you might like a particular event or a movie?

What’s in it for me?
In this talk, Dr Michal will highlight some fundamental mathematical concepts underpinning the inner workings of special algorithms. These algorithms are used for selecting the most relevant (and personalised) results to queries from a vastly complex and constantly evolving source such as the Internet.

About the speaker:
Dr Michal Branicki works on the interface of probability theory and stochastic dynamical systems with applications to quantifying uncertainty in prediction problems arising in data science.

He is particularly interested in theoretical / mathematical aspects of Bayesian data assimilation and machine learning, and techniques for systematic simplification of complex systems using empirical data.

The details:
This will be a great opportunity to help you find out more about your subject interest and what this university has to offer. Parents are invited too.