Here is a summary of the courses I have taught (more details to follow).

AI lab

Designed and managed a new lab course where students can get hands-on experience in machine learning applications in physics. This is an essential component of the new Master specialisation in artificial intelligence (more information can be found here).

Machine Learning in Fundamental Physics

Full lecture course providing an introduction to Machine Learning and its contemporary application in the physical sciences for Physics students. I have designed this new Master’s course and taught in the summer term 2019, 2020, and 2021 at LMU Munich.

Supersymmetry

I taught this 24-hour Master course for the MMathPhys at the University of Oxford in 2017. Topics covered roughly correspond to lecture notes I co-authored.

Seminar on Effective Field Theories

During the winter term 2021/2022 I run a student seminar which covered chapters from Cliff Burgess book on Introduction to Effective Field Theories.

Seminar on Dualities

During the winter term 2020/2021 I am organised a student seminar which covers AdS/CFT, dualities in field theory, and dualities in string theory.

Seminar on Topics in String Compactifications

During the winter term 2019/2020 I offered a student seminar which covered topics in string phenomenology and potential experimental signatures of string theory.