I am Benjamin Constant, a passionate Chemical Engineer (M.Sc.) currently completing my PhD in Chemical Engineering.
My research and professional focus lies in phenomenological and statistical process simulation, digital twins, and optimization strategies applied to chemical and materials engineering.

• 🎓 PhD Candidate in Chemical Engineering.
• 🧪 Specialized in materials science, polymers, and nanomaterials.
• ⚙️ Experienced in process simulation and modeling at both academic and industrial levels.
• 🌍 Enthusiastic about connecting engineering, data science, and innovation to solve complex problems.

• Programming & Data: Python (data science, deep learning, Django), Rust (PyO3), Matlab (dynamic process modeling).
• Process Simulation: gPROMS (optimization, digital twins), COMSOL (CFD modeling), Aspen Plus, PHREEQC.
• Skills: Soft-sensor development, advanced optimization, mass/energy balances, statistical modeling.

• Digital Twins for process optimization.
• Soft Sensors for real-time monitoring and control.
• Advanced modeling of lithium brine processes and membrane technologies.
• Integration of AI/ML with chemical engineering simulations.

• Deep learning frameworks for engineering applications.
• Web development with Django (interactive dashboards).
• Rust for high-performance simulation backends.

• 💼 LinkedIn
• 📚 ResearchGate

✨ Always open to collaborations in process engineering, modeling, and optimization.