CV

• Modelling and implementation work on enterprise risk management with Murex’s MX.3 platform (market / credit risk, regulatory solutions).

• Reinforcement learning on clinical EHR trajectories: Perceiver/transformer embeddings (COPER, Chauhan et al., 2024) cast as MDPs, then policy training (algorithm comparison, reward shaping). More details: here.
• Large-context DNA models (Evo2 on NVIDIA GH200; Evo2HiC, Borzoi) for epigenomic track prediction. More details: here.
• Pipeline for distal regulation and long-range enhancer–promoter interactions (e.g. EPInformer). More details: here.

You can find my internship report here: view. Defence slides: view.

• Complete web application from scratch: backend, frontend, database design, payments, data privacy protection, secure data management; serving more than 100 users. Complete documentation, in production. Now cvmove.com, integrating AI tools for better service.

• Developing from scratch in Python a flexible neural network module for education purposes (modularyNN)
• Testing and implementing optimization algorithms for deep learning
• Working on a proof and experimental validation for propagation of chaos in the meanfield underdamped regime. More details: here.

You can find my internship report here: view.

• First part of the internship focused on the steel mill slab design problem, a constrained packing problem.

  

• Implementation of optimization algorithms for local search, vehicle routing, scheduling, mathematical programming
• Modeling and solving industrial problems with Hexaly solver and performance analysis

• Integration into a team on roads and highways maintenance, Lumen Learning Center site
• Discovery of Eurovia's technical management & expertise laboratory and concrete manufacturing plant

You can find my internship report here (in french): view.

• Waste treatment centre, sorting lines.

You can find my internship report here (in french): view.