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CV

The CV1 for Lucas Hedström2, PhD.

email: lucas.hedstrom@protonmail.com

Google scholar page

Current position

Staff Scientist, Umeå University

Areas of specialization

Biophysics, fluid mechanics, models and simulations, computational physics, statistical physics, network science, machine learning

Proficiencies

Julia, MATLAB, C, Python, LaTeX, Inkscape, COMSOL, IronCAD, Linux (desktop and server), high-performance computing

Appointments held

from 2024 Staff scientist at IceLab, Umeå University, Umeå

Continuation of my projects as a PhD, including teaching and building the web presence for IceLab.

2019-2024 University teaching at 20% as a part of my PhD education, Umeå University, Umeå

Various teaching duties, both as main- and co-supervisor. A complete list of courses is found below.

sum. 2018 CAE Engineer, BAE Systems Hägglunds, Örnsköldsvik

Performed fluid dynamics simulations to improve the safety and performance of certain components, to later be assessed in an experimental setting.

2016-2017 Part-time teaching assistant, Umeå University, Umeå

Was responsible for the engineering physics websites and other IT-duties, like maintaining the course planning site Röda Tråden.

2016-2019 Part-time lab supervisor, Umeå University, Umeå

Co-supervisor on various courses. A complete list is found below.

Education

2019-2024 PhD in theoretical physics, Umeå University

My PhD focused on better understanding cellular dynamics using simulations and theoretical calculations. This included understanding and cooperating across boundaries between physics and biology, and applying physical concepts on cellular dynamics.

2014-2019 MSc in engineering physics, Umeå University

I specialized in computational physics, where I had a special interest in stochastic simulations, fluid mechanics and programming. My thesis was about applying convolutional neural networks on experimental data of bacteria.

Publications

Thesis

2024 Doctorate thesis - Hedström, L. (2024). Finding a target on DNA: Interplay between the genomic sequence and 3D structure

2019 Master’s thesis - Hedström, L. (2019). Classifying the rotation of bacteria using neural networks

Journal articles

2025 Klaminder, J. Hedström, L. Jonsson, H. Lee, J. & Lizana, L. Drying by worming: deciphering the mechanisms in which soil dwelling earthworms makes tundra soil drier. Under review at Geoderma.

2024 Hedström, L. Yang, S.G. & Lizana, L. (Target search on networks-within-networks with applications to protein-DNA interactions*. arXiv preprint arXiv:2411.02660

2024 Hedström, L. Carcedo Martínez, A. & Lizana, L. Identifying stable communities in Hi-C data using a multifractal null model. arXiv preprint arXiv:2405.05425. Under review at PLOS Complex Systems

2024 Hedström, L. & Olsson, P. Considerations on the relaxation time in shear-driven jamming. Phys. Rev. E, 109(6), 064906

2024 Hedström, L. Metzler, R. & Lizana, L. Enhancer-insulator pairing reveals heterogeneous dynamics in long-distant 3D gene regulation. PRX Life, 2(3), 033008

2022 Hedström, L. & Lizana, L. Modelling chromosome-wide target search. New Journal of Physics, 25(3), 033024

Book chapters

2023 Hedström, L. & Lizana, L. Exploring the benefits of DNA-target search with antenna. arXiv:2311.11727v2

Talks, posters and workshops

2025 Talk at MEEW 2025 in Busan, South Korea: “DNA looping and gene regulation as a stochastic resetting problem”

2025 Accepted and attended the Winter Workshop on Complex Systems (WWCS) in Mezzoldo, Italy

2024 Talk at MEEW 2024 in South Korea: “A cool connection between gene regulation and resetting search”

2023 Talk at the 11th EpiCoN meeting in Umeå: “Epigenetics on Multifractals”

2022 Poster at the EpiChrom 2022 conference in Uppsala and the 3rd workshop on stochasticity and fluctuations in small systems in South Korea: “Modelling chromosome-wide target search”

2022 Talk at the MBM 2022 conference in Linköping: “Modelling chromosome-wide target search”

2020 Talk & poster at the 10th EpiCoN meeting in Umeå; “Zooming in Hi-C maps with Convolutional Neural Networks”

Supervision

I have been engaged as an academic supervisor in many master’s theses. This position entails assisting the student with planning and writing the thesis, and sometimes giving feedback on the project as a whole. A partially complete list of works I’ve been engaged with can be found here.

Courses

From 2025 Co-responsible for the course “Machine Learning for Physicists”

From 2020 Co-responsible for the courses “Modelling and Simulation” and “Modelling the Dynamics of Living Systems”

From 2016 Head of planning, supervising and examining computer labs on “Foundations in Electromagnetism”, “Electrodynamics” and “Advanced Fluid Mechanics”

2020-2024 Head of planning, supervising and examining practical labs on “Mekanik och energifysik”

2016-2022 Head of planning, supervising and examining computer labs on “Electrodynamics”

Service to the profession

2024 Planning for the IceLab stress kickoff workshop - a kickoff for the new excellence center

2022 Planning Committee for the 11th EpiCoN meeting

2020-2022 Student representative at the research committee at the TekNat faculty

2019-2023 Deployment, improvements and management of STRIDE at the physics department, a website where doctoral students can record their achievements during their PhD

2019 Development of the most recent version of Röda Tråden, a website with tools allowing master students to plan their course plan for their wanted degree

Grants

2022 Umeå Kommun conference grant for the 11th EpiCoN meeting

2022 Wallenberg travel grant for South Korean research exchange

Other

2024-current Bass singer in the choir “Umeå Barockkör”

2024 Leader of the bass staff in the choir “Umeå Nationskören”

2023-2024 Bass singer in the choir “Umeå Nationskören”

2020-2022 Bass singer in the choir “Umeå Vokalensemble”


  1. CV last updated 15 April 2025. 

  2. “ö” is pronounced kind of like the “e” in the American pronunciation of “fern”. Hedstrom is also fine.