Anneli Andersson, Communications Partner at Mathematical Sciences

Start date: March 1, 2021

I am the communications partner for the department in the new central communications division. I will work with planning and implementation of both internal and external communications initiatives, and share the responsibility for the department’s web pages with Setta Aspström.

#### Guillaume Bellier, PhD student at the Division of Analysis and Probability

Start date: February 1, 2021

I am a PhD student working on Operator Algebras theory with some interactions with Group theory. I study the stability of groups and C* algebras and I will especially focus on the ‘’soft’’ deformation of already known C* algebras.

I have a master’s degree in mathematics of the Metz university in France that I received in 2020 and an applied mathematics Engineer master degree of ENSIMAG school in France that I received in 2014.

#### Johan Ulander, PhD student at the Division of Applied Mathematics and Statistics

Start date: January 11, 2021

My PhD project will be in the field of computational mathematics for stochastic partial differential equations.

I have a MSc degree in mathematics from ETH in Zurich and I am expecting to receive a MSc degree in engineering mathematics and computational science from Chalmers in December 2020.

#### Tatiana Shulman, Senior Lecturer at the Division of Analysis and Probability

Start date: January 1, 2021

My research interests are in Functional Analysis, more specifically in Operator Algebras, and also their connection with Quantum Information Theory. In particular, in Operator Algebras I am interested in the structure theory of C*-algebras, various aspects of noncommutative topology and in the interplay between Operator Algebras and Group Theory.

#### Petar Jovanovski, PhD student at the Division of Applied Mathematics and Statistics

Start date: September 2, 2020

I am a PhD student on the research project "Simulation-based Bayesian inference and deep learning for stochastic modelling" where I will be supervised by Umberto Picchini. The goal of this project is to marry modern machine learning methodology such as deep neural networks with simulation-based inference methods to create novel "plug-and-play" engines for parameter inference and uncertainty quantification.

My previous research includes multi-strain epidemiological modeling on networks, stochastic blockmodels (SBM) of multilayer networks, and large-scale inference of SBMs.

#### Roland Maier, researcher at the Division of Applied Mathematics and Statistics

Start date: September 1, 2020

I am a postdoctoral researcher in the group of Axel Målqvist. My main research interests lie in the field of multiscale problems. In particular, I work on numerical homogenization techniques for PDEs such as the wave equation or coupled elliptic-parabolic problems. Besides, I am also concerned with semi-explicit time discretization schemes for coupled PDEs.

I began my studies at the University of Bonn, where I received a master's degree in mathematics in 2017. Since then, I have worked as a doctoral student at the University of Augsburg, where I obtained my doctoral degree in 2020.

#### Mattias Byléhn, PhD student at the Division of Analysis and Probability Theory

Start date: August 21, 2020

I’m a PhD student in analysis towards harmonic analysis and dynamical systems, with focus on problems regarding point processes and quasicrystals.

I have studied mathematics at the University of Gothenburg and Chalmers, and I obtained a bachelor’s and master’s degree at the University of Gothenburg in 2019 and 2020 respectively.

#### Selma Tabakovic, PhD student at the Division of Applied Mathematics and Statistics

Start date: August 17, 2020

Doctoral student on the topic of neural networks, specifically towards studying the generalization bounds of neural networks. The position is connected to the Wallenberg AI, Autonomous Systems and Software Program, in the field of AI.

I have read the bachelor's program in Engineering Physics, and the Master's program Engineering Mathematics and Computational Science. An exchange year, 2017-2018, was spent at Tokyo Institute of Technology, Japan.

#### Oskar Eklund, PhD student at the Division of Applied Mathematics and Statistics

Start date: August 17, 2020

My PhD project will be about stochastic continuous-depth neural networks. In the project we advance the understanding of deep neural networks through the investigation of stochastic continuous-depth neural networks. The project is supported by Chalmers AI Research Centre (CHAIR).

I started studying at the University of Gothenburg in 2015 and received a Bachelor's degree in Applied mathematics in 2018. Between 2018 and

2020 I was a student at Chalmers where I received a Master's degree in Engineering mathematics and computational science.

#### Kasper Bågmark, PhD student at the Division of Applied Mathematics and Statistics

Start date: August 17, 2020

I am starting a PhD project within the program Wallenberg AI, Autonomous systems and Software program (WASP). The project aims to investigate the use of deep neural networks for the optimal filtering problem both numerically and theoretically. My mathematical research areas will thus be within stochastic analysis, partial differential equations and numerical analysis.

I was previously a master student within the program Engineering Mathematics and Computational Science here at Chalmers. My main focus has been stochastic analysis and partial differential equations.

#### David Lund, PhD student at the Division of Applied Mathematics and Statistics

Start date: August 17, 2020

My research focuses on large-scale analysis of DNA sequencing data, to study the spread and evolution of antibiotic resistance in bacteria. In my research I apply bioinformatic methods and models, such as Hidden Markov Models.

I started my studies at Chalmers in 2015. I have a Bachelor's degree in Bioengineering, and a Master's degree in Biotechnology.