Justin Ko
Department of Mathematics
Syracuse University
215 Carnegie Building
Syracuse, NY
United States, 13244
Email:
Office: 313F Carnegie Library
I am an assistant professor at Syracuse University in the probability and statistics research groups. Before this, I was a postdoc at the University of Waterloo under the supervision of Aukosh Jagannath from 2023 and 2025 and a postdoc at ENS de Lyon under the supervision of Alice Guionnet, Florent Krzakala, and Lenka Zdeborová from 2020 to 2023. I completed my PhD at the University of Toronto under the supervision of Dmitry Panchenko in 2020. My full CV is here.
Teaching
- MAT 521: Introduction to Probability (Fall 2025)
Past Teaching
- ACTSC 624: Stochastic Processes for Actuarial Science (Winter 2025) [+]
- STAT 230: Probability (Winter 2024) [+]
- APM 346: Partial Differential Equations (Summer 2020) [+]
- MAT 186: Calculus 1 (Fall 2019) [+]
- MAT 136: Calculus 1(B) (Summer 2019) [+]
- MAT 186: Calculus I (Fall 2018) [+]
Publications and Preprints
- The Free Energy of an Enriched Continuous Random Energy Model in the Weak Correlation Regime (with A. Alban and F. Ho)
arXiv: 2508.17313 - Dynamical mean-field analysis of adaptive Langevin diffusions: Replica-symmetric fixed point and empirical Bayes (with Z. Fan, B. Loureiro, Y. M. Lu, Y. Shen)
arXiv: 2504.15558 - Dynamical mean-field analysis of adaptive Langevin diffusions: Propagation-of-chaos and convergence of the linear response (with Z. Fan, B. Loureiro, Y. M. Lu, Y. Shen)
arXiv: 2504.15556 - Pseudo-Maximum Likelihood Theory for High-Dimension Rank One Inference (with C. Grant, A. Jagannath)
arXiv: 2503.01708 - On the phase diagram of extensive-rank symmetric matrix denoising beyond rotational invariance (with J. Barbier, F. Camilli, K. Okajima)
Phys. Rev. X. 2025, Vol 15, 021085 - A multiscale cavity method for sublinear-rank symmetric matrix factorization (with J. Barbier and A. Rahman)
International Zurich Seminar on Information and Communication (2024) - Fundamental limits of Non-Linear Low-Rank Matrix Estimation (with F. Krzakala, P. Mergny and L. Zdeborová)
arXiv: 2403.04234, Proceedings of Thirty Seventh Conference on Learning Theory (COLT 2024), PMLR 247:3873-3873 - Spectral Phase Transition and Optimal PCA in Block-Structured Spiked Models (with F. Krzakala and P. Mergny)
Proceedings of the 41st International Conference on Machine Learning (ICML 2024), PMLR 235:35470-35491 - Spectral Phase Transitions in Non-Linear Wigner Spiked Models (with A. Guionnet, F. Krzakala, P. Mergny and L. Zdeborová)
arXiv: 2310.14055 - Estimating rank-one matrices with mismatched prior and noise: universality and large deviations (with A. Guionnet, F. Krzakala and L. Zdeborová)
Commun. Math. Phys. 2025, Vol. 406, No. 9, 1-64 - TAP variational principle for the constrained overlap multiple spherical Sherrington-Kirkpatrick model (with D. Belius, L. Fröber)
arXiv: 2304.04031 - Optimal Algorithms for the Inhomogeneous Spiked Wigner Model (with F. Krzakala, A. Pak)
Advances in Neural Information Processing Systems 36 (NeurIPS 2023) - Low-rank Matrix Estimation with Inhomogeneous Noise (with A. Guionnet, F. Krzakala and L. Zdeborová)
Inf. Inference. 2025, Vol 14, Issue 2, 1 - 80 - Spherical Integrals of Sublinear Rank (with J. Husson)
Probab. Theory Relat. Fields (2025) - The Crisanti-Sommers Formula for Spherical Spin Glasses with Vector Spins
arXiv: 1911.04355 - Free Energy of Multiple Systems of Spherical Spin Glasses with Constrained Overlaps
Electron. J. Probab. 2020, Vol. 25, No. 28, 1-34 - MAX \kappa-CUT and the inhomogeneous Potts spin glass (with A. Jagannath and S. Sen)
Ann. Appl. Probab. 2018, Vol. 28, No. 3, 1536–1572