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

  1. C.-K. Huang, L. Gagnon, B. Appolaire, M. Zaloznik. Neural network approximation of a phase-field model for dendritic growth.
  2. J-T. Lu, H. Ennes, C.-K. Huang, A. Abbassi. Variational Quantum Brushes, preprint, 2025.
  3. 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.
  4. C.-K. Huang. Questions of approximation and compactness for geometric variational problems, Thesis, 2021
  5. C.-K. Huang. Asymptotic Analysis of embedded Willmore spheres in 3-dimensional manifolds.
  6. L. Gagnon, C.-K. Huang. Null controllability of Allen-Cahn eqaution, in preparation.

🗣️ Presentations (Click to Expand)

  • 2026 April, SĂ©minaire de l’équipe EDP Analyse NumĂ©rique, Nice
  • 2026 March, SMAI-MODE, Nice
  • 2026 March, Congrès des Jeunes Chercheur.e.s en MathĂ©matiques AppliquĂ©es, Champs-sur-Marne
  • 2026 February, SĂ©minaire Analyse et Dynamique, Laboratoire J.A. DieudonnĂ©, Nice
  • 2025 November, SĂ©minaire Si2M/Medicis, Institut Jean Lamour, Nancy
  • 2025 October, THALES JPAL Seminar on Quantum Algorithms & Computing, Remote, Palaiseau
  • 2025 September, SĂ©minaire thĂ©matiques 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 journĂ©e Science Ouverte, Nancy
  • 2024 April, SĂ©minaire d’EDPs, Institut Elie Cartan de Lorraine, Nancy
  • 2021 June, Presentation at SMAI2021, la Grande-Motte
  • 2019 October, JournĂ©e d’équipe EDPA, Institut Camille Jordan, Lyon
  • 2019 Mars, SĂ©mainaire ComprĂ©hensibles, Institut Fourier, Grenoble
  • 2018 October, JournĂ©e d’équipe MMCS, Institut Camille Jordan, Lyon
  • 2017 March, SĂ©minaire des doctorants et doctorantes, Lyon
  • 2016 May, Colloque Inter’Actions en MathĂ©matiques, Lyon

📚 Teaching (Click to Expand)

My Teaching (mostly in french and english as well) are listed below
  • Ecole des Mines de Nancy
    • Cours de RemĂ©diations MathĂ©matiques, Master 1
    • Cours de Soutien et TD d’Analyse NumĂ©rique et Optimisations, Licence 3
    • TD de ProbabilitĂ©s, Licence 3
  • Ecole Normale SupĂ©rieure de Lyon
    • PrĂ©paration de Leçons Ă  l’AgrĂ©gation de MathĂ©matiques, Master 2
    • TD de GĂ©omĂ©trie DiffĂ©rentielle, Master 1
    • TD d’Equations aux dĂ©rivĂ©es partielles, Master 1
    • TD d’Analyse complexe, Licence 3
  • UniversitĂ© Claude Bernard Lyon 1
    • TP Statistiques pour l’Informatique, Licence 2
    • KhĂ´lles de MathĂ©matiques, cursus PrĂ©pa
    • TD Analyse III, Licence 2
  • INSA de Lyon
    • TD de mathĂ©matiques, filières classique et internationale, premier cycle
    • Tutorat de mathĂ©matiques, premier cycle
  • LycĂ©e du Parc
    • KhĂ´lles hebdomadaires de MathĂ©matiques, filière MPSI

📏 Outreach (Click to Expand)

  • Projet des Collèges La main Ă  la pâte en mĂ©diations scientifiques Ă  la Maison pour la Science en Lorraine, 2025
  • Vulgarisations mathĂ©matiques organisĂ©es par MathĂ Lyon, 2015–2019
  • Commission de jurys Ă  TFJM2 de Lyon, 2017
  • Organiztion of JournĂ©e de Pi (Spectacle musical mathĂ©matiques) Ă  Lyon, 2016
  • Soutien scolaire pour les lycĂ©ens 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

đź’ˇ Hackathons


♦️ 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


© 2026 Chih-Kang Huang. All rights reserved.