Mathematics of Data Science

Thank you all for attending and taking part in MathODS!

The conference is now over, but you can watch recording of most of the talks.

Welcome to Mathematics of Data Science (MathODS), a virtual conference organised by graduate students taking place on the 11-12th June, 2020.

MathODS aims to provide a venue for graduate students and early career researchers to share their exciting, novel, and thought-provoking research ideas and most importantly, to facilitate interactive discussusions.

We will allow registered participants to live stream. We invite contributions in the form of a talk or a poster presentation, see Programme for more information.

The mathematical foundations of this event will lie between probability, statistics, optimisation, and image processing broadly organised into four categories:

  1. Optimisation

  2. Mathematics of deep learning

  3. Bayesian methods

  4. Application of machine learning in life sciences


Plenary speakers

      Carola-Bibiane Schönlieb, University of Cambridge

      Alexandre Bouchard-Côté, University of British Columbia

      Peter Richtárik, King Abdullah University of Science and Technology

      Gitta Kutyniok, Technische Universität Berlin


Register for free

You can register for free through Eventbrite (we have 200 spots) and sign up to our mailing list here to stay updated.

Timeline Date
Contributions sign up deadline 15th May
Abstracts deadline 29th May
General registration deadline 5th June
Conference dates 11th - 12th June

Fun activities

We have some activities planned for the afternoons where participants will be able to meet in a more informal setting.


Margaret Duff (University of Bath)
Connah Johnson (University of Warwick)
Ben Kent (University of Manchester)
Torben Sell (University of Cambridge)
Simon Vary (University of Oxford)
Tiffany Vlaar (University of Edinburgh)


If you have any questions, please contact