Hello, Hej, سلام!

I am a physicist working on the research and development of algorithms for advanced driver-assistance systems (ADAS) in Aptiv . In my current role, I work on mathematical modeling, sensor fusion, multi-object tracking, and machine learning for ADAS. I use these methods to develop robust ADAS feautres based on various perception sources.

Before moving to industry in 2025, I was a postdoctoral researcher at the Department of Physics at the University of Gothenburg , where I also earned my PhD in statistical physics in 2024. My academic research focused on active matter, turbulence, and machine learning. In particular, I studied the optimal navigation strategies of microswimmers, such as plankton , in turbulent flows. This research produced results showing how microswimmers with weak steering abilities can travel faster than their propulsion speed [1] and avoid regions of intense strain in turbulent flows, resulting in emergent counter-current swimming behavior [2]. A public article about this work is available here , and a detailed description of the results and methods can be found in my thesis .

 

You can read more about me on the About me page and find my academic background and activities in my CV . Feel free to contact me with any questions.

 

 

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[1] Navigation of micro-swimmers in steady flow: The importance of symmetries
Journal of Fluid Mechanics 932 (2022): A10
[2] Efficient survival strategy for zooplankton in turbulence
Physical Review Research 6 (2), L022034