Alexandre Ponomarenko

From raw measurements to reliable decisions: choosing and automating the instruments, building the data pipelines behind them, and analysing what comes out.

Consulting in experimental and data systems: engineering of scientific and technical data pipelines (acquisition, processing, analysis). Advice on choosing and setting up acquisition tools (instruments, sensors, cameras, lab automation), software development and instrument integration, image and video processing (computer vision, 2D and 3D imaging, real time), numerical modelling and simulation, data management and governance (databases, quality, traceability), data analysis, visualisation and data science, team training.