Pavel Berkovich

Machine Learning Researcher

I am a Machine Learning Researcher at Invenia Labs, where my role is to study the dynamics of electricity grids using Bayesian statistics.

My research interests include probabilistic modelling of spatiotemporal data, Gaussian processes, approximate inference and model-based reinforcement learning.

I hold an MSc in Computational Statistics and Machine Learning from the University College London, where my advisor was Professor John Shawe-Taylor.


  • Gaussian Processes
  • Approximate Inference
  • Reinforcement Learning


  • MSc Computational Statistics and Machine Learning, 2018 - 2019

    University College London

  • BA Computer Science, 2013 - 2016

    University of Cambridge



Machine Learning Researcher

Invenia Labs

May 2019 – Present Cambridge, UK
Using multi-output Gaussian process models to explore dynamics of electric grids.


Morgan Stanley

Aug 2016 – Aug 2018 London, UK
Pricing and predictive risk modelling for European asset-backed securities.

Summer Analyst

Morgan Stanley

Jun 2015 – Aug 2015 London, UK

Systems Research Intern

University of Cambridge Computer Laboratory

Jun 2014 – Aug 2014 Cambridge, UK


MSc Computational Statistics and Machine Learning

Graduated with Distinction. My research thesis was ranked in the top 3% of the class.

International Foundation Programme

Top examination result in the year. Only student in 5 years to be accepted to Oxbridge.

Academic Excellence

Top result in class in Russian National Examination (EGE). Succesfully participated in numerous olympiads in maths and physics.

Other Interests

Martial Arts

Financial Markets

History and Politics