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 and Physics-Informed Machine Learning, with keen interests in quantum computing and AI4Materials.

Previously, I was a postdoctoral researcher at 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, Physics-Informed ML, AI4Materials
  • Quantum Simulation 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. with G. Antonioli, F. Barbaresco. A Quantum Spectral Framework For solving PDEs, preprint.
  2. with L. Gagnon, M. Zaloznik, B. Appolaire. DeepSplitRitz Neural Operator for Phase-field models via Energy Splitting, preprint.
  3. with J-T. Lu, H. Ennes, A. Abbassi. Variational Quantum Brushes, preprint.
  4. with E.Bretin, S. Masnou. A thickness-aware Allen-Cahn equation for the mean curvature flow of thin structures, Interfaces and Free Boundaries, to appear.
  5. Questions of approximation and compactness for geometric variational problems, Thesis.
  6. Asymptotic Analysis of embedded Willmore spheres in 3-dimensional manifolds.
  7. with L. Gagnon. 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.