Summary
Austen Lamacraft is a Professor of Theoretical Physics at the University of Cambridge with over a decade of academic experience spanning Cambridge, Oxford, Princeton and the University of Virginia. He is a condensed-matter and statistical physicist who combines deep analytical skill with extensive numerical work in the Python scientific stack. Recently he has bridged into machine learning, applying tensor decompositions from quantum physics to unsupervised learning and implementing these ideas in TensorFlow. He advises a startup intersecting ML and quantum mechanics and has brief industry research experience modeling audio at Spotify, reflecting a practical bent toward translational research. Austen is now seeking to scale his numerical expertise into larger collaborative software projects, bringing rigorous theory, hands-on coding, and a knack for repurposing physics methods to ML problems.
10 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Theoretical and Mathematical Physics, Doctor of Philosophy - PhD, Theoretical and Mathematical Physics at University of Cambridge