pierrejacquet

Bridging the gap between complex data and human understanding. With a PhD and a background rooted in academic research, my career has been defined by a deep commitment to scientific rigor and the exploration of knowledge. I believe that advancements in Artificial Intelligence and computer science only reach their true potential when they serve human intelligibility and enable better, faster decision-making. As a CTO and Data Scientist, I specialize in creating the technical architecture required to turn "invisible" data into actionable insights. My interest lies at the intersection of machine learning, symbolic reasoning, and high-performance visualization. My Professional Focus: Technical Leadership: Architecting scalable, robust systems using industry-standard tools like trame and Kedro to deliver high-performance rendering in professional environments. Explainable AI (XAI): Moving beyond "black-box" models to create deterministic, verifiable systems where math—not probabilistic guessing—drives the outcome. User-Centric Design: Developing intuitive interfaces that transform data exploration into a shared, interactive, and explanatory experience. Currently, at NVEIL, I am leading the development of technologies that allow researchers and engineers to explore complex datasets in 3D without the need for boilerplate code. My goal is to create a new standard for how we interact with information—making it visual, interactive, and above all, trustable. I am always interested in connecting with fellow scientists, engineers, and visionaries who are passionate about the future of DeepTech and the evolution of human-computer interaction. 🚀 Explore our work: www.nveil.com 💬 Let's connect: Reach out if you are interested in the intersection of AI and Dataviz.