PhD 2013 (Princeton, Advisor:Weinan E); |
Postdoc 2014-2015 (Warwick, Mentor: Martin Hairer);
Ritt Assistant Professor 2015-2018 (Columbia, Mentor:Ivan Corwin).
Here are some of the previous courses I have taught|
Teaching in Fall 2022
Math735, Stochastic Analysis
MWF 12:05PM - 12:55PM (Van Vleck B119)
Timo Seppalainen, Basics of Stochastic Analysis
Grader: Zaidan Wu (zwu432 at wisc.edu)
The course grade is based on homework assignments, one midterm, and a cumulative final exam.
I am interested in stochastic partial differential equations,
and its interaction with quantum field theory, statistical mechanics, interacting particle systems and geometric flows.
Publications and Preprints - in reversed chronological order
A stochastic PDE approach to large N problems in quantum field theory: a survey.
J. Math. Phys. (2022)
A stochastic analysis approach to lattice Yang-Mills at strong coupling.
(With Rongchan Zhu, Xiangchan Zhu).
A new derivation of the finite N master loop equation for lattice Yang-Mills.
(With Scott Smith, Rongchan Zhu).
Stochastic quantisation of Yang-Mills-Higgs in 3D.
(With Ajay Chandra, Ilya Chevyrev, Martin Hairer).
An SPDE approach to perturbation theory of Φ42: asymptoticity and short distance behavior.
(With Rongchan Zhu, Xiangchan Zhu). Ann. Appl. Prob. (2022)
Large N limit of the O(N) linear sigma model in 3D.
(With Rongchan Zhu, Xiangchan Zhu) Comm. Math. Phys. (2022)
Langevin dynamic for the 2D Yang-Mills measure.
(With Ajay Chandra, Ilya Chevyrev, Martin Hairer) Publ. Math. IHÉS. (2022)
Large N limit of the O(N) linear sigma model via stochastic quantization.
(With Scott Smith, Rongchan Zhu, Xiangchan Zhu), Ann. Probab. 50 (2022), no. 1, 131-202.
Scaling limit of a directed polymer among a Poisson field of independent walks.
(With Jian Song, Rongfeng Sun, Lihu Xu), J. Funct. Anal. 281 (2021), no. 5, 55pp
Stochastic Ricci Flow on Compact Surfaces.
(With Julien Dubédat) Int. Math. Res. Not. (2021).
Some recent progress in singular stochastic partial differential equations.
(With Ivan Corwin) Bulletin of the AMS. 57 (2020), no. 3, 409-454.
Local solution to the multi-layer KPZ equation.
(With Ajay Chandra and Dirk Erhard),
J. Stat. Phys. 175 (2019), Issue 6, 1080-1106
The dynamical sine-Gordon model in the full subcritical regime.
(With Ajay Chandra and Martin Hairer)
Stochastic Telegraph equation limit for the stochastic six vertex model.
(With Li-Cheng Tsai),
Proc. Amer. Math. Soc. 147 (2019), 2685-2705
Stochastic PDE limit of the Six Vertex model.
(With Ivan Corwin, Promit Ghosal and Li-Cheng Tsai),
Comm. Math. Phys. 375 (2020), 1945-2038
Stochastic quantization of an Abelian gauge theory.
Comm. Math. Phys. 384 (2021), 1445-1512.
Open ASEP in the weakly asymmetric regime.
(With Ivan Corwin)
Comm. Pure Appl. Math. 71 (2018), Issue 10, 2065-2128.
Glauber dynamics of 2D Kac-Blume-Capel model and their stochastic PDE limits.
(With Hendrik Weber)
J. Funct. Anal. Vol 275, Issue 6, (2018), 1321-1367
Moment bounds for SPDEs with non-Gaussian fields and application to the Wong-Zakai problem.
(With Ajay Chandra)
Electron. J. Probab. Vol 22 (2017), 1-32.
ASEP(q,j) converges to the KPZ equation.
(With Ivan Corwin and Li-Cheng Tsai)
Ann. Inst. Henri Poincaré (B) Probab. Stat. 54 (2018), No. 2, 995-1012.
Weak universality of dynamical Φ43: non-Gaussian noise.
(With Weijun Xu)
Stoch PDE: Anal Comp. 6 (2018), 211-254.
A central limit theorem for the KPZ equation.
(With Martin Hairer)
Ann. Probab. 45 (2017), no. 6B, 4167-4221.
The dynamical sine-Gordon model.
(With Martin Hairer)
Comm. Math. Phys. 341 (2016), no. 3, 933-989
The strict-weak lattice polymer.
(With Ivan Corwin and Timo Seppäläinen)
J. Stat. Phys. 160 (2015), no. 4, 1027-1053
Exact renormalization group analysis of turbulent transport by the shear flow.
(With Weinan E)
J. Stat. Phys. 153 (2013), no. 4, 553-571
Mean field limit of a dynamical model of polymer systems.
(With Weinan E)
Sci. China Math. 56 (2013), no. 12, 2591-2598
A renormalization group method by harmonic extensions and the classical dipole gas.
Ann. Henri Poincaré, 17 (2016), no. 4, 861-911
Renormalized powers of Ornstein-Uhlenbeck processes and well-posedness of stochastic Ginzburg-Landau equations.
(With Weinan E and Arnulf Jentzen),
Nonlinear Analysis, 142 (2016), 152-193
PhD Thesis: Renormalization Theory in Statistical Physics and Stochastic Analysis
(Advisor: Weinan E)
Recent news and activities
September 10 - 11, 2022.
Graduate Student Probability Conference, Madison (Registration closed.)
June 27-July 1, 2022:
42nd conference on Stochastic Processes and their Applications (SPA), Wuhan
27-30 June 2022:
2022 IMS Annual Meeting, London
18 Apr 2022 - 13 May 2022:
2022 Random Matrix EurAsia 2022, Singapore
PDE and Randomness symposium,
The symposium was held online on 1st - 10th of September 2021
(originally planned to take place at University of Bath, UK.)
The 10th International Conference on Stochastic Analysis and its Applications, (10th ICSAA).
The conference was held online on 6-10 September 2021 (originally planned to take place in September 2020
at Kyoto University, Japan.)
International Congress on Mathematical Physics, Aug 2 - 7, 2021,
Bernoulli-IMS 10th World Congress,
The congress was held online on July 19 - 23, 2021
(originally planned to take place in
Grants and Awards
My research is mainly supported by the following grants:
NSF CAREER DMS-2044415 (2021-2026);
NSF DMS-1954091 (2020-2023);
NSF DMS-1712684 / DMS-1909525 (2017 - 2020)