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Group members

 Please wait... Alumni György Marko-Varga    Professor, former group leaderErika Velasquez        Postdoctoral Fellow (2024-2026)Magdalena Kuras    Postdoctoral Fellow (2023-2025)Jonatan Eriksson    PhD student (2017-2021)Richard Máté        Visiting student from Semmelweis University, Hungary, 2021Anna Solta        Visiting PhD student from Medical University of Vienna, Austria, 2022Anna Sólyom-T

https://www.bme.lth.se/en/research/biological-mass-spectrometry/group-members - 2026-10-11

Thomas Laurell Group

We work with lab-on-a-chip technology and acoustofluidics within life sciences. Specific attention is given to development of techniques for acoustic manipulation of cells, microparticles and nano bioparticles (extra cellular vesicles) in microfluidic systems to solve critical needs in life science research and medicine. We are developing microchip acoustophoresis for rare cell isolation, e.g. cir

https://www.bme.lth.se/en/research/nanobiotechnology-and-lab-chip/thomas-laurell-group - 2026-10-11

Biomechanics

The human body is like a machine where the different components (e.g. bones, muscles, ligaments and tendons) are mechanically connected. The musculoskeletal system is subjected to mechanical forces created by the earth's gravity and body movements. These forces largely determine tissue development, growth and health through an intricate feed-back system where cells within the tissue can sense thei

https://www.bme.lth.se/en/research/biomechanics - 2026-10-11

Frida Sandberg Group

Our research aims to provide tools for improved diagnosis and personalized treatment of cardiovascular disease. We develop tailored methodology for extraction information from signals of cardiovascular origin, using biomedical signal processing, model-based analysis, and machine-learning. Frida Sandbergfrida [dot] sandberg [at] bme [dot] lth [dot] se (frida[dot]sandberg[at]bme[dot]lth[dot]se)Profi

https://www.bme.lth.se/en/research/biomedical-signal-processing/frida-sandberg-group - 2026-10-11

Martin Stridh Group

We use biomedical signals and data-driven approaches to diagnostics and treatment outcome prediction. Current research include automatic arrhythmia detection and outcome prediction in large databases of home-based ECG measurements, and event detection in cardiac as well as eye-tracking signals.  Martin Stridhmartin [dot] stridh [at] bme [dot] lth [dot] se (martin[dot]stridh[at]bme[dot]lth[dot]se)P

https://www.bme.lth.se/en/research/biomedical-signal-processing/martin-stridh-group - 2026-10-11