Nicolas Jan STAS
I like R&D and working on unsolved problems. I specialize in robotics, electronics, software, and AI. These fields each take a life time to master, but share a core methodology: framing a problem, running experiments, and understanding the results. The method stays the same even when the tools change.
Innovation often happens between focus and information exposure. Too much control prevents new ideas; too little leaves nothing solid to build on. Progress depends on combining methodology with curiosity. The most interesting results appear when systems are designed to make useful accidents possible.
Understanding begins when data and ideas can be represented clearly. Plotting data, drawing a diagram, or mapping relationships all serve the same goal: to make reasoning possible. If you can’t express how something behaves or changes, you probably don’t understand it. Visualization is not an accessory to thought; it’s part of the thinking itself.
AI can identify patterns and write code but it cannot decide what matters. The human role is not to supervise algorithms but to define purpose. The human experience still determines what is worth building or exploring.
Good design is quiet. When something works as intended, it doesn’t draw attention to itself. Clarity and function leave nothing extra to explain.
Why is this page so minimal? Because I’d rather talk than decorate. If you have strong opinions about methodology, a problem worth exploring, or just want to chat, I’d love to hear from you.