Dr Constantinos Papageorgakis
BSc, MSc, PhD, FHEA, FInstP
Reader in Theoretical Physics
Head of The Department of Physics and Astronomy
School of Physical and Chemical Sciences
Queen Mary University of London
Research
Theoretical Physics, Machine Learning, Artificial Intelligence, (Super)Conformal Field Theories, String Theory
Interests
My current research focuses on the application of modern Machine Learning techniques to a diverse set of problems in theoretical and mathematical physics.
In the recent past I have investigated various aspects of superconformal field theories in multiple dimensions. A broad toolkit of approaches and techniques can be used to that effect, including the conformal bootstrap, the study of anomalies, superconformal indices and exact methods such as supersymmetric localisation. I have also researched the dynamics of solitons undergoing acceleration.
Older research involved the study of D-brane and M-brane dynamics, in string and M-theory respectively, as well as the structure of their associated supersymmetric/superconformal gauge theories. I have worked towards understanding multiple M2-branes in terms of superconformal Chern-Simons-matter theory in three dimensions, and multiple M5-branes through the superconformal (2,0) theory in six dimensions.
Publications of specific relevance to the Centre for Fundamentals of AI and Computational Theory
Publications of specific relevance to the Centre for Fundamentals of AI and Computational Theory
2026
Neural Networks, Dispersion Relations and the Thermal BootstrapNiarchos V Papageorgakis C
In
Arxiv 13-05-2026When Does Critique Improve AI-Assisted Theoretical Physics? SCALAR: Structured Critic--Actor Loop for Agentic ReasoningNiarchos V Papageorgakis C Stapleton AG Trifinopoulos S
In
Arxiv 07-05-2026 Efficient Conformal Block Evaluation with GoBlocksChryssanthacopoulos J Niarchos V Papageorgakis C Stapleton AG
In
Arxiv 16-04-2026 FeynTune: Large Language Models for High-Energy TheoryRichmond P Agarwal P Chowdhury B Niarchos V Papageorgakis C
In
Arxiv 27-02-2026
Grants
Grants of specific relevance to the Centre for Fundamentals of AI and Computational Theory
Holography and Quantum Black Holes” (HUMBLE) - MSCA PF-ST Papageorgakis / HosseiniConstantinos Papageorgakis£200,512
EPSRC - EU Scheme01-09-2024 - 31-08-2026 Amplitudes, Strings and Duality (CG 2022)Andreas Brandhuber,
David Berman,
Matthew Buican,
Rodolfo Russo,
David Vegh,
Sanjaye Ramgoolam,
Gabriele Travaglini,
Christopher White,
Bill Spence,
Congkao Wen,
Constantinos Papageorgakis,
Ricardo Monteiro, Malcolm Perry and
Biagio Lucini£1,490,072
Science & Technology Research Council (STFC)01-10-2023 - 31-03-2027
Amplitudes, Strings and DualityAndreas Brandhuber,
Bill Spence,
Rodolfo Russo,
Sanjaye Ramgoolam,
Matthew Buican, Michael Green, Steven Thomas, Steven Thomas,
Gabriele Travaglini,
Congkao Wen,
Constantinos Papageorgakis,
David Berman,
Christopher White,
David Vegh,
Ricardo Monteiro and Malcolm Perry
£890,210
Science & Technology Research Council (STFC)01-10-2020 - 31-03-2024 Quantum Field Theory in More than Four Dimensions: Research Fellows Enhancement AwardConstantinos Papageorgakis£100,098
Royal Society01-12-2017 - 31-03-2023 From Gauge Theory To M Theory And Back Again – URF extensionConstantinos Papageorgakis£780,276
Royal Society01-10-2013 - 31-01-2023
Research Group
Research Staff
PhD Students
- Sid Baines
Searching For a Heavy Charged Higgs Boson At The Atlas Experiment Using Machine Learning - James Chryssanthacopoulos
Ctp Project: Quantum Chaos and Its Holographic Dual in The Syk Model (Part1) and Improved Truncation Methods For Mixed Correlator Studies of The O(N ) Vector Model (Part 2) - Alexander Stapleton
On The Intersection of Geometry, Quantum Field Theory, and Machine Learning - Mitchell Woolley
Twisting and Reducing The Superconformal Bootstrap
News
April 2026
29 April 2026
Researchers in the Centre for Theoretical Physics and Astronomy in the School of Physical and Chemical Sciences and the Centre for Geometry, Analysis and Gravitation in the School of Mathematical Sciences at Queen Mary have been awarded £1.4 million from the Science and Technology Facilities Council (STFC) to fund the four-year ... [more]
