Chih-Kang Huang
đź‘‹ About Me
Postdoctoral Researcher | PhD in Applied Maths | ENS Lyon
I am a postdoctoral researcher in Physics-Informed Machine Learning and control theory of Deep Learning at Institut Elie Cartan de Lorrane and Institut Jean Lamour, University of Lorraine.
My current work focuses on modeling, simulation using neural neworks 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.đź“Ł News
🔬 Research
- Control Theory of Deep learning
- AI4Science and AI4Materials
- Quantum Simulations and Control
- Analysis of PDEs and Calculus of variations
🛠️ Skills
- Programming : Python (Pandas, scikit-learn, JAX, Pytorch), MatLab, Bash
- Tools : Linux, Latex, Git, Docker, Slurm (HPC), JupyterLab, Quarto
- Languages : English, French, Mandarin
đź“ś Publications and Preprints
- C.-K. Huang, L. Gagnon, B. Appolaire, M. Zaloznik. Neural network approximation of a phase-field model for dendritic growth.
- J-T. Lu, H. Ennes, C.-K. Huang, A. Abbassi. Variational Quantum Brushes, preprint, 2025.
- E.Bretin, C.-K. Huang, S. Masnou. A thickness-aware Allen-Cahn equation for the mean curvature flow of thin structures, Interfaces and Free Boundaries, accepted, 2025.
- C.-K. Huang. Questions of approximation and compactness for geometric variational problems, Thesis, 2021
- C.-K. Huang. Asymptotic Analysis of embedded Willmore spheres in 3-dimensional manifolds.
- L. Gagnon, C.-K. Huang. Null controllability of Allen-Cahn eqaution, in preparation.
🗣️ Presentations
- 2025 November, SĂ©minaire Si2M/Medicis, Institut Jean Lamour, Nancy
- 2025 October, THALES JPAL Seminar on Quantum Algorithms & Computing, Remote, Palaiseau
- 2025 September, Séminaire thématiques et sessions Q&A, UM6P, Remote, Marrakech
- 2025 August, Lectures on Physics-Informed Machine Learning at the International PEPR DIADEM Summer School, Paris
- 2025 Juin, Presentation at ICASP7, Madrid
- 2024 November, Invited talk at la journée Science Ouverte, Nancy
- 2024 April, Séminaire d’EDPs, Institut Elie Cartan de Lorraine, Nancy
- 2021 June, Presentation at SMAI2021, la Grande-Motte
- 2019 October, Journée d’équipe EDPA, Institut Camille Jordan, Lyon
- 2019 Mars, Sémainaire Compréhensibles, Institut Fourier, Grenoble
- 2018 October, Journée d’équipe MMCS, Institut Camille Jordan, Lyon
- 2017 Mars, SĂ©minaire des doctorants et doctorantes, Lyon
- 2016 May, Colloque Inter’Actions en Mathématiques, Lyon
đź“š Teaching
My Teaching (mostly in french) are listed below
- Ecole des Mines de Nancy
- Cours de Remédiations Mathématiques, Master 1
- Cours de Soutien et TD d’Analyse Numérique et Optimisations, Licence 3
- TD de Probabilités, Licence 3
- Ecole Normale Supérieure de Lyon
- Préparation de Leçons à l’Agrégation de Mathématiques, Master 2
- TD de Géométrie Différentielle, Master 1
- TD d’Equations aux dérivées partielles, Master 1
- TD d’Analyse complexe, Licence 3
- Université Claude Bernard Lyon 1
- TP Statistiques pour l’Informatique, Licence 2
- Khôlles de Mathématiques, cursus Prépa
- TD Analyse III, Licence 2
- INSA de Lyon
- TD de mathématiques, filières classique et internationale, premier cycle
- Tutorat de mathématiques, premier cycle
- Lycée du Parc
- Khôlles hebdomadaires de Mathématiques, filière MPSI
đź“Ź Outreach
- Projet des Collèges La main à la pâte en médiations scientifiques à la Maison pour la Science en Lorraine, 2025
- Vulgarisations mathématiques organisées par Mathà Lyon, 2015–2019
- Commission de jurys Ă TFJM2 de Lyon, 2017
- Organiztion of Journée de Pi (Spectacle musical mathématiques) à Lyon, 2016
- Soutien scolaire pour les lycéens au sein de l’association ENSeigner, 2013 – 2014
🔍 Supervision
- Master Internship:
- K. Oubaha, Physics-Informed Neural Operators (PINO), Feb 2026 – Jul 2026. Co-supervised with A. Dimokrati (UM6P) and B. Appolaire (Univ. de Lorraine). Develop a surrogate model for the mechanical response of materials by embedding physical equilibrium constraints into a neural operator.
🔨 Projects
- Contributions to Variational Quantum Brushes using VQE and quantum control, Quantinuum Hackathon, Bradford 2025
- Delivered lectures on Physics-Informed Machine Learning at the International PEPR DIADEM Summer School, Paris 2025
- Thales proejct on Quantum group convolution for PDEs and Equivariant Neural Networks at CEMRACS, Marseille 2025
- Chatbot for automated meal order collection, a chatbot to collect automatically meal orders during my mandatory civil service in Taiwan, Nantou 2023
đź’ˇ Hackathons
- IBM Quantum Computing Hackathon, Quantum framework for dynamic portfolio optimization, London 2025
- G-Research Quant Challenge, Introductory session on cointegration for pairs trading, Paris 2024.
- CENTURI Hackathon for Quantitative Biology, Deep single molecule unfolding detection, First Price, Marseille 2024.
♦️ Misc
In my spare time, i enjoy studying and playing Bridge, a probabilistic trick-taking card game. My system based on Precision Club and Symmetric Relay can be found here.
I also enjoy puzzle solving. For instance, my solutions to Advent of Challenge 2025