Past PhDs

Reinforcement Learning and Variational Quantum Algorithms

Jiahao Yao
Lin Lin
2023

A Hybrid Finite Difference Level Set–Implicit Mesh Discontinuous Galerkin Method for Multi-Layer Coating Flow Problems

Luke Corcos
James A. Sethian
2023

Quantum Signal Processing Algorithm and Its Applications

Yulong Dong
Lin Lin
2023

Electronic Structures and Numerical Simulations for Twisted Bilayer Graphene

Qinyi Zhu
Lin Lin
2023

On the Brauer groups of fibrations

Yanshuai Qin
Xinyi Yuan
2023

From Voronoi Cells to Algebraic Statistics

Yulia Alexandr
Bernd Sturmfels
2023

Developing medical digital twins from image data in inverse problem framework with neural networks

Franny Dean
Michael Lindsey
2024

Duality and Infinity

Guillaume Massas
Wesley Holliday
Paolo Mancosu
2024

Provably Efficient Algorithms for Non-convex Optimization with Benign Structures

Haixiang Zhang
Jon Wilkening
Javad Lavaei
2024

Topology of Principally Regular Matrices

Max Zubkov
David Nadler
2024