CMBAGENT Lab @ Cambridge

Boris Bolliet

Boris' research focuses mainly on the development of AI systems that can autonomously conduct scientific research. He is the creator of Cmbagent, the first multi-agent system applied to Cosmological data analysis. He is also one of the three creators of Denario, an end-to-end framework for the automated and modular production and execution of scientific research projects across multiple domains, from Physics to Philosophy. Boris leads agentic AI research in the Infosys-Cambridge AI Centre.

Current Positions

  • Assistant Teaching Professor and Principal Investigator (Physics)
  • Agentic AI Research Lead (Infosys-Cambridge AI Centre)
  • Fellow of Trinity Hall (Cambridge)

Previous Positions

  • Assistant Research Professor (DAMTP, Cambridge)
  • Research Associate (Columbia University, PI: Colin Hill)
  • Research Associate (JBCA, Manchester, PI: Jens Chluba)
  • PhD (Grenoble, France, PI: Aurélien Barrau)

Current Group Members

  • Boris Bolliet (PI)
  • Tom Borrett (PhD, Inaugural Infosys-Cambridge AI Centre PhD Scholarship, 2025-)
  • Patrick Janulewicz (PhD, Harding Distinguished Postgraduate Scholar, 2025-)
  • Licong Xu (PhD, PI: Anthony Challinor, 2025-)
  • Andy Nilipour (MPhil, Churchill Scholar, 2025-)
  • Joshua Ange (MPhil, Churchill Scholar, 2025-)
  • Celia Lecat (MSc, 2025-)
  • Jamie Martin (MSc, 2024-)

Previous Group Members

  • Kahaan Gandhi (BSc, 2025) → Caltech
  • Chadi Ait Ekioui (MSc, 2025) → Dublin City University
  • Xueqing Xu (MPhil, 2025) → AI Engineer at Barclays
  • Adrian Dimitrov (MSc, 2024-2025)
  • Edwin Robinson (MSc, 2024-2025)

Research Focus

We develop AI systems that can autonomously conduct scientific research.

Our research is funded by Cambridge (C2D3), Infosys and Google (Research Scholar Program Award 2025).

Research Software

  • The DENARIO project: Modular Automation of Scientific Research with Multi-Agent Systems
  • CMBAGENT: Autonomous Research Backend for AI Agents
  • CLASS_SZ: Cosmic Linear Anisotropy Solving System with Machine Learning Accelerated CMB, LSS and Halo Model Observables Computations
Our group is involved in the following courses:

  • Multi-Agent Reinforcement learning and Agentic AI - MPhil Data Intensive Science
  • Research Computing and Software Development - MPhil in Data Intensive Science, MPhil in Economics and Data Science, and the Center for Doctoral Training in Data Intensive Science (CDT)

We welcome top students and postdocs interested in working with us to get in touch. Note that due to the high number of emails we receive (thank you so much!), we truly apologise for not being able to answer all of them.

E-mail: bb667@cam.ac.uk

Address: Cavendish Laboratory, JJ Thomson Avenue, Cambridge CB3 0HE, United Kingdom

Office: Room F26 in Battcock