A presentation of our newly employed colleagues.
Johannes Borgqvist
Postdoctor at the Division of Applied Mathematics and Statistics
I am a research fellow with the Wenner-Gren Foundations in Stockholm who just finished a three year long position as an affiliated researcher at the postdoctoral level at Wolfson Centre for Mathemathical Biology at the Mathematical Institute of the University of Oxford. Before becoming a Wenner-Gren Fellow, I obtained my PhD title in 2020 from the Department of Mathematical Sciences at the University of Gothenburg, and it is a great pleasure to return to my home institute. Starting in January 2024, I will continue my research at the department of Mathematical Sciences of Chalmers University of Technology, and the focus of my work is to analyse, select and construct mechanistic models in biology consisting of ordinary differential equations (ODEs) using Lie symmetries. So far I have primarily done classical symmetry analyses of mechanistic ODE models in biology with an emphasis on trying to interpret the meaning of the symmetries we have found in a biological context. I have also developed and implemented a symmetry based framework for model selection where multiple candidate ODE models are fitted to time serie data. Currently I am further developing these ideas, and I am also working on a project involving symmetries in the context of structural identifiability analysis. In addition to the work of symmetry methods, I have also worked on partial differential equation (PDE) models of pattern formation based on Turing instability, and a long term goal is to analyse these spatial processes in terms of Lie symmetries.
Start date: January 1, 2024
Sagy Ephrati
Postdoctor at the Division of Applied Mathematics and Statistics
I recently obtained my PhD at the University of Twente in the Netherlands and will join the group of Klas Modin as a postdoc.
My main research interests lie in computational fluid dynamics, (stochastic) model development for geophysical flows, and combining these subjects with geometric mechanics.
Start date: December 1, 2023
Pierre Nyquist
Senior lecturer at Division of Applied Mathematics and Statistics
Start date: December 1, 2023
Anna Rohova
PhD student at the Division of Analysis and Probability Theory
Start date: November 20, 2023
Annamaria Ortu
Postdoctor at the Division of Algebra and Geometry
Start date: November 1, 2023
Bin Han
Project assistant at the Division of Applied Mathematics and Statistics
I am a research assistant at the University of Gothenburg, working in a project on spatio-temporal (time and space/geography) statistical and machine learning-based analyses of COVID-19 contagion in Sweden. Before that, I was a postdoctoral research fellow at KTH with Liam Solus, and a postdoctoral researcher at Bar-Ilan Uiversity with Ron Adin and Yuval Roichman. I completed my PhD in mathematics in February 2020 at University of Lyon 1 under the supervision of Jiang Zeng.
Areas of research: statistics and machine learning, algebraic and geometric combinatorics, enumerative combinatorics.
Start date: October 20, 2023
Elias Nyholm
PhD student at the Division of Algebra and Geometry
Start date: October 1, 2023
Moritz Hauck
Postdoctor at the Division of Applied Mathematics and Statistics
Start date: October 1, 2023
Moritz Hauck received his Ph.D. from the University of Augsburg. In his dissertation he worked on novel discretization methods for multiscale problems. The developed methods use locally computable problem-specific basis functions with optimal uniform approximation properties. The proposed method allows significant computational savings due to improved localization properties.
As a postdoctoral researcher he will work on the development of fast discretization methods for fiber-based materials, using his knowledge of multiscale problems and solvers. In particular, he will develop multilevel and multiscale methods and provide a rigorous theoretical framework under the assumptions of homogeneity and connectivity of the underlying network at coarse scales.
Ludvig Jakobsson
PhD student at the Division of Applied Mathematics and Statistics
Start date: September 1, 2023
Antonio Trusiani
Postdoctor at the Division of Algebra and Geometry
Start date: September 1, 2023
Nachi Avraham-Re'em
Postdoctor at the Division of Analysis and Probability Theory
I have recently completed my Ph.D. at the Hebrew University under the supervision of Prof. Zemer Kosloff, and I will be joining as a postdoc to the research group of Prof. Michael Björklund.
My research is mainly in Ergodic Theory and Probability. I am also interested in Descriptive Set Theory and its connections to the aforementioned subjects.
Start date: August 28, 2023
Gustav Mårdby
PhD student at the Division of Analysis and Probability Theory
I am interested in geometric analysis, a branch of mathematics that involves both geometric and analytic techniques. The analysis typically comes from mathematical physics, which uses partial differential equations to describe physical processes like heat, waves, and energy. The physical process happens in some geometric setting, and this is where the geometry enters.
In my master's thesis, I studied the relationship between the spectrum of the Laplace operator on bounded domains in the plane and their geometry. I will continue this investigation and study related problems in geometric analysis with main supervisor Julie Rowlett.
Start date: August 21, 2023
Noémie Legout
Guest teacher at the Division of Algebra and Geometry
Start date: August 18, 2023
Joel Danielsson
Guest teacher at the Division of Analysis and Applied Probability
I am joining the department as a guest lecturer, where I will teach both mathematics and statistics.
My main research interests are probabilistic combinatorics in general and random graphs/networks in particular. One of my current projects concerns random simplicial complexes, and the enumeration of simplicial manifolds. Some topics that I have worked on are random instances of discrete optimisation and satisfiability problems, local graph limits, and random k-SAT models.
Start date: August 15, 2023
Akash Sharma
Postdoctor at the Division of Applied Mathematics and Statistics
Start date: August 14, 2023
Alejandro Lozada Cortés
PhD student at the Division of Applied Mathematics and Statistics
Physicist & Journalist, I like combining tools. I'll be joining Prof. Rebecka Jörnsten's group studying (and hopefully developing) novel techniques for matrix and tensor imputation with the aim of expediting the process of drug discovery for Glioblastoma.
Start date: August 14, 2023
Philipp Misof
PhD student at the Division of Algebra and Geometry
I'm joining Jan Gerkens group in the area of mathematical foundations of deep learning. I'm particularly interested in geometric descriptions of neural networks (NNs), e.g. equivariant NNs, allowing for better-tailored algorithms. Owing to my physics background, my work is influenced by symmetry-centered approaches typically found in mathematical physics.
Previously I obtained a master's degree in physics at the University of Vienna. While my thesis dealt with invariant NNs in the field of condensed matter physics, I'm now excited to investigate NNs in a more fundamental setting at Chalmers as part of a WASP-funded program.
Start date: August 14, 2023
Björn Müller
PhD student at the Division of Applied Mathematics and Statistics
My interests are in computational mathematics with a focus on stochastic methods and numerical analysis. I will be working on manifolds that evolve stochastically over time. The goal of the project, which is supervised by Annika Lang, is to define these manifolds, analyze their properties and ultimately simulate them, combining methods from SPDEs, stochastic processes and geometry.
I have a Master's degree in Mathematics from the University of Louisiana at Lafayette, USA. My Master's thesis focused on numerical analysis for PDEs, specifically on exponential time differencing schemes for advection-diffusion-reaction equations.
Start date: August 14, 2023
Ruben Seyer
PhD student at the Division of Applied Mathematics and Statistics
My interests lie at the intersection of Bayesian inference and machine learning, where I will work on computational methods for statistics. I am particularly interested in applications within spatial statistics and point processes. Thus far I have focused on stochastic gradient methods and piecewise deterministic Markov processes.
I will be supervised by Moritz Schauer and Aila Särkkä. Originally I have a master's degree in Engineering Mathematics from Chalmers and indeed wrote my thesis at the department about differentiable Monte Carlo methods using piecewise deterministic Markov processes.
Start date: August 14, 2023
