Johanna Weinberger

Portrait of Johanna Weinberger

Dr. · Postdoctoral Researcher
MPI MiS

Research profile

Johanna Weinberger is a joint postdoctoral researcher with Benjamin Gess, Felix Otto, and Nicolas Perkowski at MPI MiS. She works on stochastic partial differential equations, regularization by noise, interacting particle systems and superprocesses, studying well-posedness and qualitative properties of stochastic models with irregular drift and branching behaviour.

Research areas

SPDEs · Regularization by Noise · Interacting Particle Systems · Superprocesses

Five research keywords

stochastic PDEs · regularization by noise · interacting particle systems · superprocesses · stochastic differential equations


Contact and links

Public email

johanna.weinberger@mis.mpg.de

Institution

Max Planck Institute for Mathematics in the Sciences (MPI MiS), Leipzig


Curriculum vitae

DateAppointment / education
2026–presentJoint postdoctoral researcher, Max Planck Institute for Mathematics in the Sciences, Leipzig; mentors: Benjamin Gess, Felix Otto, and Nicolas Perkowski.
2022–2026PhD in Mathematics, Technion – Israel Institute of Technology; advisor: Leonid Mytnik.
2021–2022Research and teaching assistant, Martin Luther University Halle-Wittenberg; numerics for stochastic partial differential equations.
2018–2021MSc Mathematics, Technische Universität Berlin.
2015–2018BSc Technomathematics, Technische Universität Berlin.

Publications

This catalogue contains all publications by the member, including work from before joining SAiS. Journal versions and preprints are maintained as one record per scientific work.


Current SAiS projects

No current SAiS project assignment has been provided.


Talks and posters

Selected talks and posters: information to be provided by the member.


Teaching

PeriodTeaching activity
2022–2026Exercise classes at the Technion: Stochastic Processes and Stochastic Differential Equations.
2021–2022Exercise classes at Martin Luther University Halle-Wittenberg: Numerics and Numerics for Stochastic Processes.
2018–2021Exercise classes at TU Berlin: Probability Theory, Numerics, Statistics for Computer Science, and Analysis 1 and 2 for Engineers.