Peter E. Holderrieth

I am a 2nd-year PhD student at CSAIL at MIT working with Tommi Jaakkola and Regina Barzilay. I work on machine learning algorithms, in particular generative modeling, as well connections to mathematics and science (“AI for science”). During my PhD, I also interned at MetaAI working with Yaron Lipman and Ricky Chen. I am always excited about new interesting collaborations. Feel free to reach out!

In the past, 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.