About
Engineering shaped
by observation.
I work where software, scientific data and physical instruments meet.
My background in observational astronomy taught me to treat software as part of a larger system: cameras, sensors, networks, data quality, operational constraints and the people who need to understand the result.
Doctoral research is one part of that practice. I have also built web applications, integrated data-processing infrastructure, worked with telescope control systems and delivered field diagnostics during observing campaigns.
I am most useful on problems that cross boundaries—when a pipeline has to be scientifically credible, operationally reliable and clear enough for others to use.
Approach
How I work
- 01
Start with the full system
Understand the data source, hardware and operating environment before optimising an isolated component.
- 02
Make failure diagnosable
Observability, documentation and explicit boundaries are features, especially in remote systems.
- 03
Keep scientific judgement visible
Automation provides scale; decisions and limitations still need to be clear to the people interpreting results.
Research and communication
Technical practice,
scientific depth.
- Education
- PhD in Astronomy in progress at the University of Wrocław, following MSc and BSc degrees in astronomy.
- Publications
- Co-author of 13 peer-reviewed papers in major astronomy journals and two proceedings.
- Teaching
- University classes in mathematics, astronomy, statistics, Python, Fortran and Linux.
- International work
- Technical collaboration, conference talks, posters and workshops across Europe, Asia and the United States.
Outside work
Photography
Photography remains part of this site because it is part of how I observe places, light and technical environments—not a detached archive.
Photography, blog and teaching