Chih-Kang Huang
đź‘‹ About Me

Postdoc in ML & Maths | PhD in Applied Maths | ENS Lyon
I am a postdoctoral researcher at Centre Inria d’Université Côte d’Azur and Laboratoire J.A. Dieudonné. My current work focuses on Control theory for neural network analysis, Physics-Informed Machine Learning and AI4Materials, with keen interests in quantum computing and quantitative finance.
Previously, I was a postdoctoral researcher at Institut Elie Cartan de Lorrane and Institut Jean Lamour, University of Lorraine. I received my Ph.D. in Applied Mathematics at Institut Camille Jordan, University of Lyon. My manuscript can be found here.📣 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
📜 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
- 2026 April, Séminaire de l’équipe EDP Analyse Numérique, Nice
- 2026 March, SMAI-MODE, Nice
- 2026 March, Congrès des Jeunes Chercheur.e.s en Mathématiques Appliquées, Champs-sur-Marne
- 2026 February, Séminaire Analyse et Dynamique, Laboratoire J.A. Dieudonné, Nice
- 2025 November, Séminaire 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 March, Séminaire des doctorants et doctorantes, Lyon
- 2016 May, Colloque Inter’Actions en Mathématiques, Lyon
📚 Teaching
My Teaching (mostly in french and english as well) 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
📏 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