Mrinank Sharma

PhD Student in Machine Learning

University of Oxford

I’m a second year PhD student at Magdalen College at the Univeristy of Oxford, in the Autonomous Intelligent Machines and Systems CDT (AIMS) programme. I’m supervised by Tom Rainforth, Eric Nalisnick, and Yee Whye Teh.

I have broad interests in Bayesian and probabilistic machine learning, including Bayesian deep learning. I’m also excited by deep unsupervised learning and deep generative models. I hope to develop techniques that allow these methods to be more readily applied to real world problems.

Of late, I’ve been focusing on COVID-19 nonpharmaceutical intervention research. In short, we hope to understand the individual effectiveness of different government interventions at controlling the spread of COVID-19?”

Got questions about applying for ML PhDs at Oxford? Feel free to reach out, either by email or on Twitter :)


  • Bayesian Machine Learning
  • Deep Generative Models
  • COVID-19 Intervention Research


  • PhD in Machine Learning, 2019-present

    Department of Statistics, University of Oxford

  • MEng in Information and Computer Engineering, 2019

    Pembroke College, University of Cambridge

  • BA in Engineering, 2018

    Pembroke College, University of Cambridge