I am a Research Scientist at FAR AI, researching topics to reduce catastrophic risks from advanced AI systems. If you are doing similar work, please reach out – I’d love to hear from you! We are also hiring.
I have a PhD from Stanford University, wonderfully advised by Stefano Ermon. During my PhD, I studied a diverse range of topics including constrained reinforcement learning, variational inference, and autoregressive models.
I studied Physics for my undergrad and took a Computer Science Master’s. It was a pleasure to work with Carl E. Rasmussen, developing variational methods for Gaussian Process State-Space Models.
I have also interned at the Centre for Human Compatible AI, the Future of Humanity Institute at Oxford University, and DeepMind.
Get in touch at chris dot j dot cundy at gmail dot com
PhD in Computer Science, 2018-2024
Stanford University
MEng in Computer Science, 2017
Cambridge University
BA in Natural Sciences (Physics), 2016
Cambridge University