Julien Siguenza

We are developing nuRemics®, a unified open-source framework designed to build scientific software tools, enabling industrial-quality technology research scaling. But a framework alone is not enough. SUFFISCIENS is the ecosystem that brings it to life, fostering a collaborative community and providing Deep Tech teams with the support and training needed to effectively integrate it into their R&D workflows.

Practical scientific programming sessions in Matlab for engineering students.

The course offers a progressive approach:

› Introduction to the Matlab environment (workspace, scripts, programming basics).

› Practical exercises and guided problem-solving to develop autonomy.

› Introduction to Simulink and Simscape for system modeling and simulation.

› Implementation of numerical methods, such as the Euler method, to solve engineering problems.

My role is to guide students of various levels, enabling them to acquire practical programming skills and the confidence needed to apply digital tools to engineering challenges.

I leverage my scientific expertise and analytical skills for innovative projects through the Mercor.io platform.

Mission: Design expert evaluation questions for AI.

I participated in a project aimed at identifying the limitations of advanced AI models when faced with questions requiring deep and highly specialized expertise. The objective is to create a series of HLE-type questions, based on research papers, that:

› Are self-contained, integrating all necessary context within the question itself.

› Require a short, unique, and unambiguous answer.

› Rely on specialized concepts from arXiv, bioRxiv, or ChemRxiv articles.

› Are designed to challenge even the most advanced models (like GPT-5), demanding expert reasoning rather than simple knowledge recall.

These questions serve as a scalable evaluation tool, allowing AI researchers to measure and track model performance in specialized reasoning. My role involves crafting these expert questions within my specialty, ensuring they meet the project's rigorous requirements.