One of the privileges of working in academia is that I get to teach lectures and talk about my work and the work of others in a regular basis. Owing to this I have spent quite a lot of my time talking about artificial intelligence and data science in biochemistry.

For the past years I have held a Stipendiary Lectureship in Physical and Structural Biochemistry at St Peter's College, University of Oxford. I have been invited to teach at graduate courses at the university (e.g. Data-Driven Approaches to Drug Discovery courses at Centers for Doctoral Training, data science courses at MSc and undergraduate level), summer schools (e.g. the International School of Crystallography, etc.) and business meetings (e.g. internal meetings at Novo Nordisk, the Life Sciences UK meeting organised by Pistoia Alliance, etc.). I am also an Associate Fellow of the Higher Education Academy.

You can find some of the materials I produced for these events below:

• Machine learning for protein structure: the past, the present and some of the future, originally produced for the 58th International School in Crystallography
  (last updated: March 2023)
• Introduction to data science, originally produced for a 5-week course to train Oxford students to solve data science consultancy projects, organised by the society Oxford Strategy Group Digital.
• Molecular orbital theory without tears, originally produced as a handout for my tutorials in Physical Biochemistry at St Peter's College.