Nima Afkhami-Jeddi

Theoretical Physicist · AI/ML Researcher

I'm a theoretical physicist working at the intersection of quantum gravity, conformal field theory, and quantum information. I did my PhD at Cornell under Thomas Hartman, followed by postdoctoral fellowships at the University of Chicago (Kadanoff Center) and McGill University. My research uses analytic and numerical methods to probe the structure of quantum gravity through the lens of holography and the conformal bootstrap. I'm currently pursuing research roles in AI and machine learning.

Research Interests

My work focuses on non-perturbative methods in quantum field theory and quantum gravity, particularly the conformal bootstrap, holography (AdS/CFT), and the quantum information structure of black holes. I also develop numerical and machine learning methods applied to theoretical physics problems.

AdS/CFT Holography Conformal Bootstrap Quantum Information Entanglement Entropy Black Hole Physics Modular Bootstrap ML for Physics LLM Tooling

Publications

2025
Imprint of the black hole singularity on thermal two-point functions

N. Afkhami-Jeddi, S. Caron-Huot, J. Chakravarty, A. Maloney · 2025

arXiv:2510.21673 ↗
2022
Conformal bootstrap deformations

N. Afkhami-Jeddi · JHEP 09, 225 (2022)

arXiv:2111.01799 ↗
2022
Calabi-Yau CFTs and random matrices

N. Afkhami-Jeddi, A. Ashmore, C. Cordova · JHEP 02, 021 (2022)

arXiv:2107.11461 ↗
2021
Free partition functions and an averaged holographic duality

N. Afkhami-Jeddi, H. Cohn, T. Hartman, A. Tajdini · JHEP 01, 130 (2021)

arXiv:2006.04839 ↗
2020
High-dimensional sphere packing and the modular bootstrap

N. Afkhami-Jeddi, H. Cohn, T. Hartman, D. de Laat, A. Tajdini · JHEP 12, 066 (2020)

arXiv:2008.02288 ↗

800+ citations · Full list on INSPIRE ↗

Projects

arXiv Agent

An agentic LLM workflow that takes a high-energy theory paper and generates step-by-step instructions for reproducing its results from first principles, with automated success scoring.

PythonLangChainLLM APIs

Conformal Bootstrap ML

Machine learning classifiers for distinguishing conformal field theories, applied to the modular bootstrap problem in 2D CFT.

PythonPyTorchJulia

Calabi-Yau Spectrum Solver

Numerical computation of the metric and Laplacian spectrum on Calabi-Yau manifolds using finite-difference methods and spectral techniques.

MathematicaC++

Sphere Packing Optimizer

High-dimensional optimization algorithms for the sphere packing problem, with applications to error-correcting codes. Leveraged cloud compute for large-scale parallelized runs.

JuliaAWSSLURM

Modular Bootstrap Solver

Numerical implementation of modular bootstrap constraints for 2D conformal field theories using semidefinite programming.

JuliaMathematicaSDP

McGill Seminar Scheduler

Automated scheduling system for department seminar speaker coordination and mailing list management.

PythonPHPSQL

Experience

Postdoctoral Research Fellow

2022–Present

McGill University, Montreal, QC

Non-Perturbative Bootstrap Fellowship

Postdoctoral Research Fellow

2019–2022

University of Chicago, Kadanoff Center, Chicago, IL

Kadanoff Fellowship

Education

Ph.D. Physics

2014–2019

Cornell University

Advisor: Thomas Hartman · Thesis: Causality Constraints in Quantum Field Theory and Quantum Gravity

M.Sc. Physics

2013–2014

Perimeter Institute for Theoretical Physics

Advisor: Freddy Cachazo

B.Sc. Physics, Summa Cum Laude

2009–2013

York University

Awards & Fellowships

  • 2022 Non-Perturbative Bootstrap Fellowship, McGill
  • 2019 Kadanoff Fellowship, UChicago
  • 2014 NSERC PGS-D
  • 2013 NSERC PGS-M
  • 2013 Perimeter Scholars International Award