New employees


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

Petar JovanovskiStart 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

Roland MaierStart 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

Mattias ByléhnStart 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

Selma TabakovicStart 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

Oskar EklundStart 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

Kasper BågmarkStart 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

David LundStart 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.

 

 


Lucile Devin, postdoctor at the Division of Algebra and Geometry

Lucile DevinStart date: August 3, 2020

I am a postdoctoral researcher working with Anders Södergren on the project “Zeros in families of L-functions”, and more generally in Analytic Number Theory.

I am also interested in prime number races and generalizations of Chebyshev's bias.

 

 

 


Magnus Röding, adjunct associate professor at the Division of Applied Mathematics and Statistics

Magnus RödingStart date: July 1, 2020

My research is mainly focused on applications in materials science and microscopy. This involves image analysis of microscopy data, in part for dynamic measurements of for example diffusion coefficients, in part for characterization of material structures and their geometry using imaging techniques. Further, it concerns statistical modeling of realistic material structures and simulation of their properties. The research is based on a broad spectrum of techniques in statistics, machine learning, stochastic modeling, simulation, chemical and physical modeling, and image analysis.



Erik Jansson, PhD student at the Division of Applied Mathematics and Statistics

Erik JanssonStart date: June 15, 2020

My PhD project concerns the mathematics behind shape learning. It is part of the Wallenberg AI, Autonomous systems and Software program (WASP).

I began my studies at Chalmers in 2015. I have since then obtained a Bachelor’s degree in Applied mathematics and a Master's degree in Engineering mathematics and computational science.

 


Eva Andersson, study administrator

Eva AnderssonStart date: June 1, 2020

I will work as a study administrator at the department. My duties will include administrative support for teachers, where exam administration and grading reports for mainly undergraduate education at both Chalmers and the University of Gothenburg will be important tasks.

I come directly from the Linnaeus University in Kalmar, where I have worked since 2002. The tasks have varied over time, in recent years I have worked as a support function within the faculty office for Arts and Humanities with several different tasks in different operating systems, such as Ladok and TimeEdit, as well as study administration and student support.


Emma Palm Bogren, communicator, student recruitment

Emma Palm BogrenStart date: May 15, 2020

As a communicator, I will focus on student recruitment at the University of Gothenburg. I will work with marketing online and follow up recruitment efforts.

I have studied Communication and Public Relations at Linnaeus University in Växjö and at Mary Immaculate College in Ireland and I had my internship at Volvo Cars Sweden. Previously I worked as a marketing assistant & Social Media Marketer at Gekås Ullared and most recently as a Content Specialist at Boråstapeter.



David Cohen, professor at the Division of Applied Mathematics and Statistics

David CohenStart date: April 1, 2020

My main research interest is numerical analysis of differential equations, with a particular focus on geometric numerical integrators. This basically consists in the design and analysis of structure-preserving numerical methods for the approximation, in time, of solutions to deterministic and random dynamical systems. Such dynamical systems come, for instance, from applications in molecular dynamics, in astrophysics, in the field of modern communication systems, or in nonlinear wave phenomena. Concrete examples are highly oscillatory problems, multiscale problems, models for shallow water waves, or stochastic wave and Schrödinger equations.

I defended my Phd thesis in 2004 (University of Geneva) and then hold various positions (University of Tübingen, NTNU, University of Basel, Karlsruhe Institute of Technology). Since 2012, I worked as an associate professor at Umeå University.​

Published: Mon 31 Aug 2020.