Sofiane S.

I spent part of my career straddling two worlds that are often seen as distant: scientific research and the factory floor.

– In the INSERM biology research laboratory (Grenoble Institute of Neuroscience – GIN), I learned the rigor of data and scientific methodology.

– In industry — synthetic polymer coating and operating automated press lines (plastics processing) — I was responsible for chemical preparations, their formulations, and their large-scale application. My role: to run the automation, calculate needs, manage the "chemical kitchens," and ensure process consistency, day after day.

From each position, I learned to read a factory through its signals: sensors and reflective cells, time-series data, cooking times, temperature rises, the effect of each parameter adjusted on the line. It is this concrete understanding that allows me today to envision, for each workshop and each workstation, the most useful technical application.

It is precisely this dual perspective — science AND the reality of a production line that must run — that I bring today to HERACLES AI, adding my expertise in machine learning and applied mathematics.