I am a Ph.D. student in Computational Science and System Engineering at Massachusetts Institute of Technology (MIT), affiliated with the Zardini Lab in the Laboratory for Information and Decision Systems (LIDS). I am fortunate to be advised by Prof. Gioele Zardini. Before joining MIT, I earned my Bachelor of Science, in Mathematics and Computer Science from École Polytechnique, and later completed my Master of Science, in Mathematics and Statistics (OMMS/Part C) at the University of Oxford.
Throughout my academic journey, I have been fortunate to receive generous guidance from many mentors, whose support has shaped both my scholarly values and my broader outlook on life. I am truly honored to have completed my bachelor's thesis under the supervision of Prof. Vassilis Digalakis Jr (HEC ISOM) and Prof. Michael Lingzhi Li (HBS TOM), and my master's thesis under the dedicated guidance of Prof. Coralia Cartis. Additionally, I have served as a research intern at LIX, CNRS, INSEAD, and HEC Montreal, and have been privileged to collaborate extensively with distinguished professors including Prof. Gleb Pogudin and Prof. Georgina Hall.
My research interests bridge theoretical foundations and practical applications, spanning convex/nonconvex optimization, operations research, complex and interconnected system design, and systems & control. Modern engineered systems are increasingly assembled from large collections of heterogeneous, interacting subsystems; I am interested in how optimization theory and operations research can exploit this compositional structure to reason about performance, robustness, scalability, and coordination. I hope to apply these ideas to multi-agent systems, including distributed collaboration, resource allocation, strategic interaction, and game-theoretic decision making.
With Yujun Huang and Meshal Alharbi, presented Scalable Co-Design via Linear Design Problems: Theory and Decomposition Algorithm (Session: Compositional Optimization on Networks, Mar 21). Separately presented Adaptive Levenberg-Marquardt Third-Order Newton's Method (Session: Advances in Global Optimization: Algorithms and Applications, Mar 22).
Thrilled to share our paper A Globally Convergent Third-Order Newton Method via Unified Semidefinite Programming Subproblems, joint work with Dr. Wenqi Zhu, Prof. Coralia Cartis, and Prof. Gioele Zardini. The paper introduces ALMTON, a third-order algorithm that uses adaptive quadratic regularization to reformulate each iteration as a tractable semidefinite program, achieving global convergence without the overhead of quartic-regularized approaches. This project started during my master's — I'm genuinely glad to see it reach this milestone, and deeply grateful to everyone who helped along the way.
I presented Analysis of city composition based on basic amenities including public transport at CREST, Paris-Saclay, France. Project page · Webpage
This work develops dissipativity-preserving quadratizations for polynomial ODE systems and is accompanied by code and slides for further exploration. Publication
I presented Quadratization in the reachability problem for ODEs at INRIA, Palaiseau, France. Webpage
The report explores preprocessing strategies that make reachability workflows for nonlinear ODE systems more stable and computationally tractable. Report page
PhD in Computational Science & System Engineering, 2025-2030 (Expected)
Massachusetts Institute of Technology, Laboratory for Information & Decision Systems
MSc in Mathematics and Statistics (Part C/OMMS), 2024-2025, Graduated with Honors
University of Oxford
BSc in Applied Mathematics and Computer Sciences, 2021-2024, Graduated with Honors
École Polytechnique