Peter E. Holderrieth

I am a first-year PhD student at the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT working with Tommi Jaakkola and Regina Barzilay. I am excited about machine learning, mathematics, and science - and in particular research that combines all three fields (“AI for science”). I want to help create a world where AI can help us discover mathematical theorems, physical theories, materials, technologies, or drugs much faster than we ever thought possible.

I earned an MSc in Statistics and an MSc in Neuroscience at the University of Oxford supported by a Rhodes Scholarship where I worked with Yee Whye Teh on geometric deep learning and with Stephen Smith on transfer learning for neuroimaging. I am fortunate to have graduated with a BSc in Mathematics from the wonderful University of Bonn where I worked with Andreas Eberle on stochastic differential equations.

Before MIT, I worked at the AI-drug discovery company Cellarity as a Machine Learning Scientist. In the past, I also interned at BCG Gamma, Genomics plc, the Max Planck Institute, and the German Parliament. Besides my work, I have a passion for writing music, swimming, and hiking.