E-mail: kevinyang AT math DOT harvard DOT edu

Department of Mathematics, Harvard.

- I am an NSF postdoc and Benjamin Peirce fellow at Harvard University, where my sponsor is Professor H.T. Yau.
- My research is at the intersection of probability and analysis, (e.g. KPZ universality, stochastic analysis of interacting particle systems, random matrices, and N-body problems more generally).
- I organize the Harvard Probability Seminar.
- I am also a (trail) runner. See the end of this webpage for more details.

- Ph.D. in Mathematics, Stanford University (2017-2022). Advisor: Amir Dembo.
- A.B. in Mathematics, Harvard University (2013-2017).

- K. Yang, KPZ equation from ASEP plus general speed-change drift.
- S. Dubova, K. Yang, H.-T. Yau, J. Yin, Gaussian statistics for left and right eigenvectors of complex non-Hermitian matrices.
- S. Dubova, K. Yang, Bulk universality for complex eigenvalues of real non-symmetric random matrices with i.i.d. entries.
- A. Dembo, K. Yang, KPZ-type equation from growth driven by a non-Markovian diffusion.
- A. Dembo, K. Yang, A flow-type scaling limit for random growth with memory (Under revision).
- K. Yang, Time-inhomogeneous KPZ equation from non-equilibrium Ginzburg-Landau SDEs (Under revision).
- K. Yang, Fluctuations for some non-stationary interacting particle systems via Boltzmann-Gibbs Principle.
**Forum of Mathematics, Sigma**, 11, E32, 2023. - K. Yang, Non-Stationary Kardar-Parisi-Zhang equation from ASEP with a slow bond.
*Accepted*,**Annales de l'Institut Henri Poincare, Prob. et. Stat.**. - K. Yang, Hairer-Quastel universality in non-stationarity via energy solution theory.
**Electronic Journal of Probability**, 28, 1-26, 2023. - K. Yang, KPZ Equation from non-simple variations on open ASEP.
**Probability Theory and Related Fields**, 183, 415-545, 2022. - K. Yang, Kardar-Parisi-Zhang Equation from Long-Range Exclusion Processes.
**Communications in Mathematical Physics**, 400, 1535-1663, 2023. - K. Yang, Stochastic Burgers Equation via Energy Solutions from Non-Stationary Particle Systems.
- Megumi Asada, Ryan Chen, Eva Fourakis, Yujin Kim, Andrew Kwon, Jared D. Lichtman, Blake Mackall, Steven J. Miller, Eric Winsor, Karl Winsor, Jianing Yang, Kevin Yang. Lower-Order Biases Second Moments of Dirichlet Coefficients in Families of L-Functions.
**Experimental Mathematics**. DOI: 10.1080/10586458.2021.1980453. 2021. - Paula Burkhardt, Peter Cohen, Jonathan DeWitt, Max Hlavacek, Steven J. Miller, Carsten Sprunger, Yen Nhi Truong Vu, Roger Van Peski and Kevin Yang. Random matrix ensembles with split limiting behavior.
**Random Matrices: Theory and Application**. Vol. 07, No. 03, 1850006. 2018. - Asada M, Fourakis E, Miller SJ, Yang K, Appendix to Some Results in the Theory of Low-lying Zeros: Determining the 1-level density, identifying the group symmetry and the arithmetic of moments of Satake parameters.
**Families of Automorphic Forms and the Trace Formula**. 435-476. Simons Symposia. Springer, Cham. 2016. - Yu Z, Liu N, Liu J, Yang K, Wang X. Neuroglobin, a novel target for endogenous neuroprotection against stroke and neurodegenerative disorders.
**Int. J. Mol. Sci**. 6995-7014. 2012. - Undergraduate thesis on local statistics for random covariance matrices and bipartite graphs: see here, here, and here.

- Probability Seminar, Brown University, Oct. 2024.
- Probability Seminar, Penn/Temple, Oct. 2024.
- Probability Seminar, Duke University, Apr. 2024.
- Probability and Statistical Physics Seminar, University of Chicago, Apr. 2024.
- Probability Seminar, Stanford University, Mar. 2024.
- Probability Seminar, Courant/NYU, Feb. 2024.
- Probability Seminar, MIT, Feb. 2024.
- Lefschetz Center for Dynamical Systems Seminar, Brown University, Oct. 2023.
- Probability Seminar, U.C. Davis, Oct. 2023.
- Summer School on Stochastic Analysis, EPFL, Aug. 2023.
- Workshop: Laplacian Growth Models, Theory and Applications, Institute for Mathematical and Statistical Innovation, Jun. 2023.
- Probability Seminar, UCSD, May 2023.
- Seminario de Probabilidade e Mecanica Estatistica, May 2023.
- Probability Seminar, Cornell University, Mar. 2023.
- Joint Applied Math/Probability Seminar, Stanford University, Feb. 2023.
- Workshop: Stochastic PDEs and Related Topics, Brin Mathematics Research Center, University of Maryland, College Park, Nov. 2022.
- Probability Seminar, University of Warwick, Nov. 2022.
- Stochastics Seminar, University of Utah, Sept. 2022.
- Probability Seminar, U.C. Berkeley, Sept. 2022.
- [Online] Bristol–Warwick–QMUL Informal Online Probability Seminar, May 2022.
- [Online] Probability and the City, New York, Dec. 2021. Video.
- [Online] Probability Seminar, U.C. Berkeley, Nov. 2021.
- Program Associates Short Talks, MSRI, Oct. 2021. Video.
- Mathematical Physics and Probability Seminar, UC Davis, Sept. 2021.
- Introductory Talk on Scaling Limits for Interacting Particle Systems, MSRI, Sept. 2021. Video.
- [Online] Junior Integrable Probability Seminar, May 2021.
- [Online] Student Probability/PDE Seminar, University of California, Berkeley, April 2021.
- [Online] Probability Seminar, University of Wisconsin-Madison, Feb. 2021.
- [Online] Probability Seminar, Stanford University, Nov. 2020. Video.
- [Online] Stochastic PDE Seminar, Columbia University, Oct. 2020. Video.
- [Online] Bernoulli-IMS One World Symposium Aug. 2020.
- Mathematical Physics and Probability Seminar, UC Davis, Dec. 2018.
- Probability Seminar, Columbia University, Oct. 2018.
- Maine/Quebec Number Theory Conference (w/ Steven J. Miller), Oct. 2015.

- Advances in Probability Theory and Interacting Particle Systems: a conference in honor of S. R. Srinivasa Varadhan, Harvard University, Aug. 2024.
- Summer School on Stochastic Analysis, EPFL, Aug. 2023.
- Workshop: Laplacian Growth Models, Theory and Applications, Institute for Mathematical and Statistical Innovation, Jun. 2023.
- Workshop: Stochastic PDEs and Related Topics, Brin Mathematics Research Center, University of Maryland, College Park, Nov. 2022.
- I was a Program Associate at MSRI in Fall 2021 for "Universality and Integrability in Random Matrix Theory and Interacting Particle Systems".
- Advances in Asymptotic Probability, In honor of Amir Dembo's 60th birthday.

- Fellowship, Northern California Chapter of the ARCS Foundation, 2020-2021 and 2021-2022.
- Herb Alexander Award, Harvard University Department of Mathematics.
- Certificate for Distinction and Excellence in Teaching, Derek C. Bok Center at Harvard University, Fall 2014 to Spring 2017.

- I was the organizer for the Student Probability Seminar at Stanford University from Fall 2019 to Spring 2021.
- In Winter 2018 and Spring 2020, I participated as a mentor in the Stanford Mathematics Directed Reading Program.

- I am an amateur (trail) runner, and my coach is Serena Blacklow (who does all things coaching, baking, and more). Below are some of the races I've done.
- Kaiser Permanente Half Marathon, San Francisco.
- Marin Ultra Challenge (50M).
- Rodeo Valley Trail Run (30k).
- Mammoth Trail Fest (26k).
- Lake Sonoma 50 (50M).
- UTMB Canyons Endurance Runs (25k).
- TARC Fall Classic (1st place overall, 50M).
- TARC Stone Cat (50M).
- Marin Ultra Challenge (again, 50K).
- Loon Mountain Race.
- TARC Fall Classic (again, 1st place age group, 50K).