• Imperial College London, London, United Kingdom                         10/2022 - Now

PhD in applied mathematics

Funding：Roth Scholarship from Imperial College London

• Imperial College London, London, United Kingdom                   10/2021 - 10/2022

 Master’s Degree in Statistics

• Australian National University, Canberra, Australia                   07/2020 - 07/2021

 Bachelor’s Degree (Honours) in Mathematical Sciences           

• Australian National University, Canberra, Australia                   07/2018 - 07/2020

 Bachelor’s Degree in Mathematical Finance                 

• Beijing University of Technology, Beijing, China                       09/2016 - 07/2018

 Bachelor’s Degree in Applied Mathematics

• Data/moment-driven approaches for fast predictive control of collective dynamics, G. Albi, S. Bicego, M. Herty, Y. Huang, D. Kalise and C. Segala, Model Predictive Control, Vol. 31 in Dynamic Modeling and Econometrics in Economics and Finance Series, Springer: 29-54 [arxiv,book]                                      

• A multiscale Consensus-Based algorithm for multi-level optimization, M. Herty, Y. Huang, D. Kalise and H. Kouhkouh, Mathematical Models and Methods in Applied Sciences 35(10)(2025): 2207-2243 [arxiv, journal]

• Fast and robust consensus-based optimization via optimal feedback control, Y. Huang, M. Herty, D. Kalise and N. Kantas, to appear in SIAM Journal on Scientific Computing  [arxiv].

• Supervised Learning for Hamilton-Jacobi-Bellman PDEs using High-Order Information, Behzad Azmi, Matías Gómez-Aedo, Y.Huang, Dante Kalise, Karl Kunisch.

• Adaptive Basis and Data Selection for Polynomial Approximation of PDE Solutions, Y. Huang, Dante Kalise, Yuhua Zhu.

• High-Dimensional Hamilton-Jacobi-Bellman PDEs for Global

Optimization, in High-Dimensional Control Problems and Mean-Field Equations with Applications in Machine Learning, Oberwolfach Report 56/2024.  [link].

• MSc Thesis (Imperial College London, 2022) Bayesian Optimization on Riemannian Manifolds, supervised by Andrew Duncan

• BSc Honours thesis (Australian National University, 2021) Stochastic Mirror Descent Method, supervised by Qinian Jin 

(Available upon request)

• Mary Lister McCammon Summer Research Fellowship, Seminar talk, August 2025, IC, London, UK

• Mathematical and Scientific Machine Learning (MSML2025), Poster presentation, August 2025, Naples, Italy.                 

• Viennese Conference on Optimal Control and Dynamic Games (VC2025), July 2025, Vienna, Austria.            

• Siam Conference on Computational Science and Engineering (CSE25), March 2025, Fort Worth, Texas, U.S.

• Invited talk, Computing and Mathematical Sciences (CMS) Department, Caltech, Online, January, 2025.

• Oberwolfach Mini-Workshop:High-Dimensional Control Problems and Mean-Field Equations with Applications in Machine Learning, December 2024, MFO Oberwolfach, Germany.           

• Imperial College London Control and Optimization Seminar, December 2024, London, UK.