About | Machine Learning in Science

The adoption of Machine Learning (ML) and Artificial Intelligence (AI) across the sciences provides a common research focus across disciplines, creating an ideal platform to spark interdisciplinary interactions and collaborations. For example, researchers from chemistry, psychology, and physics are using the same underlying algorithms for vastly different applications. Early career researchers gaining hands-on exposure to cutting edge machine learning techniques is imperative to harness its potential. Machine Learning’s fast-paced evolution demands constant upskilling and transcending the conventional teaching-learning methods.

We host bimonthly colloquia and biennial conferences with plans for more targeted upskilling workshops in the near future.

Our colloquia series aims to highlight research areas that are either linked by a common theme or by a common machine learning application. Many of the researchers who attend these colloquia come from different backgrounds so we aim to make these series into a platform accessible to both new and experts in a field. Many of the concepts discussed in seminars are new machine learning methods which are still in their infancy and puts researchers at all levels on the same learning curve. Information and recordings of past talks can be found here. We have recently started our collaboration with the Centre for Data Science and AI (CDSAI) and we hope that this collaboration will help us to reach broader audiences UK-wide.

After gaining enough interest and momentum with our colloquia, we decided to hold our first conference in August 2022. This conference was held at our local venue, the Advanced Research Centre, here at the University of Glasgow. We featured keynote speakers from the University of Edinburgh, Google Deepmind, and the Max Plank Institute, where each keynote speaker introduced sessions themed around applications of machine learning in medicine and physics and machine learning theory. Poster sessions and generaly networking events were also held. Below is a photoseries from our conference.

Our committee is formed of early career researchers. If you would like to get involved by joining or even just presenting at a colloquium, then please write to us at scieng-mlinscience@glasgow.ac.uk.