I am a postdoctoral researcher specializing in physics-informed machine learning and control theory of PDEs at Institut Elie Cartan de Lorrane and Institut Jean Lamour. My current work focuses on modeling, simulation, and optimization in materials science, with keen interests in quantum computing and quantitative finance.

Previously, I received my Ph.D. in Applied Mathematics at Institut Camille Jordan, University of Lyon. My manuscript can be found here.

News

• [10/2025] Participation to the Quantum Computing Hackathon, organized by The City of London Corporation, IBM Quantum and NayaOne.
• [08/2025] Gave an introductory course and hands-on session on PINNs at International DIADEM summer school
• [07/2025] Research project “Quantum Group Convolution for PDEs” supported by THALES at CEMRACS
• [07/2025] Invited talk of our work at TMS2026!

Research Interest

• Scientific Machine Learning (PINNs, NODEs, etc.) and Control Theory
• Application of neural networks to solidification and microstructures
• Analysis of PDEs and Calculus of variations

Scientific Works

• C-K. Huang. Questions of approximation and compactness for geometric variational problems, Thesis, Université de Lyon, 2021
• E.Bretin, C-K. Huang, S. Masnou.A thickness-aware Allen-Cahn equation for the mean curvature flow of thin structures
• C-K. Huang, L. Gagnon, B. Appolaire, M. Zaloznik. Neural network approximation of a phase-field model for dendritic growth, in preparation.
• L. Gagnon, C-K. Huang. Null controllability of Allen-Cahn eqaution, in preparation.
• C-K. Huang, N. Marque. Asymptotic Analysis of embedded Willmore spheres in 3-dimensional manifolds, in preparation.

Transversal Projects and Hackathons

• CENTURI Hackathon 2024 for Quantitative Biology, Deep single molecule unfolding detection, First Price.
• G-Research Paris Quant Challenge 2024, Introductory session on cointegration for pairs trading.
• Chatbot for automated meal order collection, a chatbot to collect automatically meal orders during my mandatory civil service in Taiwan

Hard Skills

• Mathematics : Analysis of PDEs, Numerical Simulations, Optimization, Calculus of Variations, Geometric Analysis
• Programming : Python (Pandas, scikit-learn, JAX, Pytorch, Qiskit, etc.), MatLab
• Tools : Latex, Git, Docker, Slurm (HPC), Jupyter, Linux, Office