Mikkel Paltorp

Download the full CV (PDF)

linkedin: Mikkel Paltorp
scholar: Mikkel Paltorp
github: mipals
email: mikkel.paltorp@gmail.com
orcid: 0000-0002-4274-2614

I completed my PhD at the Technical University of Denmark (DTU), working within the Acoustic Technology (ACT) group and The Centre for Acoustic-Mechanical Micro Systems (CAMM). My research addressed computational challenges in modeling viscous and thermal effects in acoustics using the Boundary Element Method, applying techniques such as hierarchical matrices ($\mathrm{\mathscr{H}︀}$-matrices), the Fast Multipole Method (FMM), and Reduced Order Series Expansions. Part of this work was done in collaboration with researchers at The Technical University of Munich (TUM).

I’m currently a Postdoc in the Section for Scientific Computing at DTU’s Department of Applied Mathematics and Computer Science. My research focuses on leveraging problem structure to develop scalable algorithms. This includes efficient interior-point methods for finite element limit analysis in civil engineering, as well as fast algorithms for Gaussian process regression that exploit the sequentially semiseparable structure of SDE-induced kernels, implemented in the Julia package SSSMatrices.jl.

Experience

• PostDoc, Scientific Computing, DTU Compute (2024 - Present).
• PhD, Acoustic Technology & CAMM, DTU Electro (2020 - 2024).

Scientific Skills

• Numerical Linear Algebra (Sparsity, semiseparability, $\mathrm{\mathscr{H}︀}$-matrices, …)
• Scientific Computing (Element Methods, Automatic Differentiation, …)
• Machine Learning (Gaussian Processes, Deep Learning, …)
• (Conic) Optimization (Interior Point Methods, First-order Methods, …)

Technical Skills

• Programming: Julia, Python, MATLAB, R, C, Rust
• Tools: git, LaTeX, Typst, CI/CD, JuMP, Marimo, agentic coding
• Languages: Danish (native), English (fluent)

Activities

• Active member of the Julia user group of Copenhagen since 2021.¹¹ I organize events. Our events have around 30 participants and have included speakers from Novonesis, PFA, PumasAI, and MIT.

Education

• M.Sc.Eng in Mathematical Modelling and Computation (2020).
• B.Sc.Eng in Mathematics and Technology (2017).
• Exchange semester - McGill University (2016).