Graduate Alumni

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Year	First Name	Last Name	Title	Advisors
2026	Michael J.	Zellinger	White Elephants and Cash Cows: Economically Wrangling the Zoo of AI Models	Bühlmann, Thomson
2025	Pau	Batlle Franch	Optimization-Based Statistical Inference: Constrained Inverse Problems, Worst-Case Priors, and Kernel Regression	Owhadi
2025	Xiaoqiao	Chen	Active Acquisition Methods for Single Cell Genomics	Thomson
2025	Nicolas Henry	Christianson	Machine Learning-Augmented Algorithms: Theory and Applications in Energy and Sustainability	Low, Wierman
2025	Noel V.	Csomay-Shanklin	Layered Control Architectures: Constructive Theory and Application to Legged Robots	Ames
2025	Ethan Nicholas	Epperly	Make the Most of What You Have: Resource-Efficient Randomized Algorithms for Matrix Computations	Tropp
2025	Jiaqing	Jiang	Computational Complexity and Quantum Gibbs Sampling for Local Hamiltonians	Mahadev, Preskill, Vidick
2025	William Robert	King	Advancing Applications of Quantum Computers in Quantum Simulation, Optimization, Learning, and Topological Data Analysis	Schulman
2025	Zongyi	Li	Neural Operator for Scientific Computing	Anandkumar
2025	Yiheng	Lin	Predictions and Policy Optimization in Online Decision Making	Wierman, Yue
2025	Joseph Alfred	Slote	Discrete Harmonic Analysis and its Applications to Testing, Learning, and Complexity	Umans
2025	Margaret Katherine	Trautner	Operator Learning for Scientific Computing	Stuart
2025	Jing	Yu	Safe and Scalable Learning-Based Control: Theory and Application in Sustainable Energy Systems	Doyle, Wierman
2025	Jiawei	Zhao	Understanding and Improving Efficiency in Training of Deep Neural Networks	Anandkumar
2024	Apurva Srinivas	Badithela	Test and Evaluation of Autonomous Systems: Reactive Test Synthesis and Task-Relevant Evaluation of Perception	Murray
2024	Dmitry Anatolyevich	Burov	Kernel Methods for Learning About Complex Dynamical Systems	Stuart
2024	Dimitar Mi	Ho	Control of Unknown Dynamical Systems: Robustness and Online Learning of Feedback Control	Doyle
2024	Hsin-Yuan (Robert)	Huang	Learning in the Quantum Universe	Preskill, Vidick
2024	Daniel Victor	Leibovici	General Domain FC-Based Shock Dynamics Solver	Bruno
2024	Jing Shuang (Lisa)	Li	Distributed Control Theory for Biological and Cyberphysical Systems	Doyle
2024	Bijan Henrik Socrates	Mazaheri	Combining Sources and Leveraging Contexts	Bruck, Schulman
2024	Ayush	Pandey	Modeling Frameworks for Modular and Scalable Biological Circuit Design	Murray
2024	Yousuf Mounir	Soliman	Discrete Constrained Willmore Surfaces	Schroeder
2024	Jennifer Jianing	Sun	AI for Scientists: Accelerating Discovery Through Knowledge, Data, and Learning	Perona, Yue
2024	Cameron	Voloshin	Guaranteed Policy Performance in Reinforcement Learning	Yue
2024	Skylar Xueyao	Wei	Data-Driven Safety-Critical Autonomy in Unknown, Unstructured, and Dynamic Environments	Burdick
2023	Carmen	Amo Alonso	Distributed and Localized Model Predictive Control	Doyle
2023	Christoph	Bauinger	The "Interpolated Factored Green Function" Method	Bruno
2023	Sara Meghan	Beery	Where the Wild Things Are: Computer Vision for Global-Scale Biodiversity Monitoring	Perona
2023	Yifan	Chen	On Multiscale and Statistical Numerical Methods for PDEs and Inverse Problems	Hou, Owhadi, Stuart
2023	Elijah Henry John	Cole	Visual and Spatial Representation Learning with Applications in Ecology	Perona
2023	Anushri C.	Dixit	Risk-Aware Planning and Control in Extreme Environments	Burdick
2023	Victor David	Dorobantu	Geometry and Dynamical Systems in Machine Learning and Control	Yue
2023	Kristjan	Eldjarn Hjoerleifsson	Graph Modeling for Genomics and Epidemiology	Pachter
2023	Spencer Lane	Gordon	The Identification of Discrete Mixture Models	Schulman, Vidick
2023	SooJean	Han	Control and State-Estimation of Jump Stochastic Systems by Learning Recurrent Spatiotemporal Patterns	Chung, Doyle
2023	Matthew Emanuel	Levine	Machine Learning and Data Assimilation for Blending Incomplete Models and Noisy Data	Stuart
2023	Tongxin	Li	Learning-Augmented Control and Decision-Making: Theory and Applications in Smart Grids	Low, Wierman
2023	Alexander Mario	Poremba	Revocable Cryptography in a Quantum World	Vidick
2023	Guanya	Shi	Reliable Learning and Control in Dynamic Environments: Towards Unified Theory and Learned Robotic Agility	Chung, Yue
2023	Andrew James	Taylor	Robust Safety-Critical Control: A Lyapunov and Barrier Approach	Ames
2023	Lucien Desloge	Werner	Uncertainty and Decentralization: Two Themes in an Energy Transformation	Low, Wierman
2023	Shumao	Zhang	Singularity Formation in the High-Dimensional Euler Equations and Sampling of High-Dimensional Distributions by Deep Generative Networks	Hou
2023	Ziyun	Zhang	Low-Rank Matrix Recovery: Manifold Geometry and Global Convergence	Hou
2022	Jiajie	Chen	Singularity Formation in Incompressible Fluids and Related Models	Hou
2022	Carl A. A.	Folkestad	Koopman-based Learning and Control of Agile Robotic Systems	Burdick
2022	Gautam	Goel	Regret-Optimal Control	Hassibi
2022	Nikola Borislavov	Kovachki	Machine Learning and Scientific Computing	Stuart
2022	Chen	Liang	Cascading Failures in Power Systems: Modeling, Characterization, and Mitigation	Low, Wierman
2022	Jenish Chetan	Mehta	Combinatorial and Algebraic Propeties of Nonnegative Matrices	Schulman, Vidick
2022	Eric	Zhan	New Algorithms for Programmatic Deep Learning with Applications to Behavior Modeling	Yue
2021	Thomas Geoffrey	Anderson	Hybrid Frequency-Time Analysis and Numerical Methods for Time-Dependent Wave Propagation	Bruno
2021	Navid	Azizan Ruhi	Large-Scale Intelligent Systems: From Network Dynamics to Optimization Algorithms	Hassibi, Wierman
2021	Karena Xin	Cai	Safe and Interpretable Autonomous Systems Design: Behavioral Contracts and Semantic-Based Perception	Chung, Murray
2021	Palma Alise den Nijs	London	Frameworks for High Dimensional Convex Optimization	Wierman
2021	Riley John	Murray	Applications of Convex Analysis to Signomial and Polynomial Nonnegativity Problems	Chandrasekaran, Wierman
2021	Ellen Rachel	Novoseller	Online Learning from Human Feedback with Applications to Exoskeleton Gait Optimization	Burdick, Yue
2021	Xinying (Cindy)	Ren	Principles for Designing Robust and Stable Synthetic Microbial Consortia	Murray
2021	Florian Tobias	Schäfer	Inference, Computation, and Games	Owhadi
2021	Jialin	Song	Learning to Optimize: from Theory to Practice	Yue
2021	Yu	Su	Optimizing Cloud AI Platforms: Resource Allocation and Market Design	Wierman
2020	Andrea Wei	Coladangelo	Quantum Correlations, Certifying Quantum Devices, and the Quest for Infinite Entanglement	Vidick
2020	Michael William (Milan0	Cvitkovic	Deep Learning in Unconventional Domains	Vidick
2020	Sumanth	Dathathri	Scalable Synthesis and Verification: Towards Reliable Autonomy	Murray
2020	Agustin Gabriel	Fernandez-Lado	Wave-Scattering by Periodic Media	Bruno
2020	Emmanuel	Garza Gonzalez	Boundary Integral Equation Methods for Simulation and Design of Photonic Devices	Bruno
2020	De	Huang	Positive Definite Matrices: Compression, Decomposition, Eigensolver, and Concentration	Hou
2020	Hoang Minh	Le	New Frameworks for Structured Policy Learning	Yue
2020	Matteo Ruggero	Ronchi	Vision for Social Robots: Human Perception and Pose Estimation	Perona
2019	Maxim A.	Budninskiy	Geometry-Driven Model Reduction	Desbrun
2019	Ioannis	Filippidis	Decomposing Formal Specifications Into Assume-Guarantee Contracts for Hierarchical System Design	Murray
2019	Zhongzheng	Fu	Representations of Action Monitoring and Cognitive Control by Single Neurons in the Human Brain	Adolphs, Rutishauser
2019	Linqi	Guo	Impact of Transmission Network Topology on Electrical Power Systems	Low
2019	Yorie	Nakahira	Connecting the Speed-Accuracy Trade-Offs in Sensorimotor Control and Neurophysiology Reveals Diversity Sweet Spots in Layered Control Architectures	Doyle
2019	Noah Andrew	Olsman	Architecture, Design, and Tradeoffs in Biomolecular Feedback Systems	Doyle, Goentoro
2019	John Zhen Fu	Pang	Online Platforms in Networked Markets: Transparency, Anticipation and Demand Management	Wierman
2019	Kevin Qing	Shan	Sparse Deconvolution with Applications to Spike Sorting	Siapas
2019	Yong Sheng	Soh	Fitting Convex Sets to Data: Algorithms and Applications	Chandrasekaran
2019	Grant Richard	Van Horn	Towards a Visipedia: Combining Computer Vision and Communities of Experts	Perona
2019	Juba	Ziani	Data: Implications for Markets and for Society	Ligett, Wierman
2018	Ania-Ariadna	Baetica	Design, Analysis, And Computational Methods For Engineering Synthetic Biological Networks	Murray
2018	Niangjun	Chen	Online Algorithms: From Prediction to Decision	Low, Wierman
2018	Yoke Peng	Leong	Optimal Controller Synthesis for Nonlinear Systems	Burdick, Doyle
2018	Shaun Cohn	Maguire	The Spectral Theory of Multiboundary Wormholes	Preskill
2018	Xiaoqi	Ren	Optimizing Resource Management in Cloud Analytics Services	Wierman
2018	Anandh	Swaminathan	Application, Computation, and Theory for Synthetic Gene Circuits	Murray
2017	John Jacob	Bruer	Recovering Structured Low-rank Operators Using Nuclear Norms	Tropp
2017	Thomas Anthony	Catanach	Computational Methods for Bayesian Inference in Complex Systems	Beck
2017	Yuhua Richard	Chen	Concentration Inequalities of Random Matrices and Solving Ptychography with a Convex Relaxation	Tropp
2017	Albert Ren-Haur	Chern	Fluid Dynamics with Incompressible Schrödinger Flow	Schroeder
2017	Rachel Autumn Dixon	Cummings	The Implications of Privacy-Aware Choice	Ligett
2017	Eyrun-Arna	Eyjolfsdottir	Computational Methods for Behavior Analysis	Perona
2017	Zeyu	Guo	P-Schemes and Deterministic Polynomial Factoring Over Finite Fields	Umans
2017	Pengfei	Liu	Spatial Profiles in the Singular Solutions of the 3D Euler Equations and Simplified Models	Hou
2017	Palma Alise den Nijs	London	Distributed Optimization and Data Market Design	Wierman
2017	Carlos Andrés	Pérez Arancibia	Windowed Integral Equation Methods for Problems of Scattering by Defects and Obstacles in Layered Media	Bruno
2017	Yuh-Shyang	Wang	A System Level Approach to Optimal Controller Design for Large-Scale Distributed Systems	Doyle
2017	Pengchuan	Zhang	Compressing Positive Semidefinite Operators with Sparse/Localized Bases	Hou
2017	Juba	Ziani	Efficiently Characterizing Games Consistent with Perturbed Equilibrium Observations	Chandrasekaran, Ligett
2016	Eldar	Akhmetgaliyev	Fast Numerical Methods for Mixed, Singular Helmholtz Boundary Value Problems and Laplace Eigenvalue Problems - with Applications to Antenna Design, Sloshing, Electromagnetic Scattering and Spectral Geometry	Bruno

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