Students and Postdoctoral Associates

Postdoctoral associates

Silke Glas Ph.D., Ulm University, 2018	Optimization of stellarators

PhD students

Current

Caira Anderson Applied Math	MHD stability in stellarators
Michael Czekanski Statistics	Monte Carlo transport calculations for stellarators
Darian Nwankwo Computer Science	Transformed kernel methods for prediction and optimization
Calvin Tolbert ORIE	Bayesian optimization

Graduated

Ariel Kellison Computer Science Ph.D., 2024	Type-Based Approaches to Rounding Error Analysis Co-advised (secondary advisor: Andrew Appel)
Max Ruth Applied Math Ph.D., 2024	Numerical Methods for Identifying Integrability with Applications in Plasma Confinement
Xinran Zhu Applied Math Ph.D., 2024	Scalable Gaussian processes and Bayesian optimization with application to hyperparameter tuning
Misha Padidar Applied Math Ph.D., 2023	Challenges in the optimization-aided design of magnetic confinement systems
Eric Lee Computer Science Ph.D., 2020	Budget-Constrained Bayesian Optimization
Kun Dong Applied Math Ph.D., 2019	Randomized Numerical Linear Algebra for Large-Scale Matrix Data
David Eriksson Applied Math Ph.D., 2018	Scalable kernel methods and their use in black-box optimization Co-advised (secondary advisor: Christine Shoemaker)
Moontae Lee Computer Science Ph.D., 2018	Joint-stochastic spectral inference for robust co-occurrence modeling and latent topic analysis Co-advised (primary advisor: David Mimno)
Amanda Hood Applied Math Ph.D., 2017	Localizing the eigenvalues of matrix-valued functions: analysis and applications
Colin Ponce Computer Science Ph.D., 2016	Network-Structured Error Flattening for Power Grids and Other Real-World Networks
Erdal Yilmaz Applied Physics Ph.D., 2016	Design, Analysis and Simulation of Microscale Solid-Wave Gyroscopes Research advisor (formally advised by Richard Lovelace)

Masters students

Cyrus Rohani Computer Science M.Eng.,
Ankit Lakkapragada Computer Science M.Eng.,
Rohan Shah Computer Science M.Eng.,
Rohit Valiveti Computer Science M.Eng.,
Felix Hohne Computer Science M.Eng., 2023	Interfacing DESC with Julia
Sahil Dev Computer Science M.Eng., 2022	Streamlining Spark Cluster Setup with Flintrock
Junyoung Lim Computer Science M.Eng., 2021	Learning to Cluster
Erik Louie Computer Science M.Eng., 2021	Learning to Cluster
Kevin Chaudhuri Computer Science M.Eng., 2020	Matrix exponentials in modeling electron spin resonance spectra
Yuanxi Shen Computer Science M.Eng., 2020	Fast Bayesian Transformed Gaussian Prediction
Sungjun Cho Computer Science M.S., 2020	Robust and Scalable Spectral Topic Modeling for Large Vocabularies
Bingqing Ma Computer Science M.Eng., 2018	Web Interface to a Finite Element Analysis Program
Alvin Zhu Computer Science M.Eng., 2018	Fast non-negative projection of low rank matrices
Tommy Shum Computer Science M.Eng., 2018	PySOT in the Cloud
Peiyu Shi Computer Science M.Eng., 2018	A web dashboard for PySOT
Israr Mahmood Computer Science M.Eng., 2018	A web dashboard for PySOT
Daniel Liu Computer Science M.Eng., 2017	Bayesian optimization in PySOT
Han Wen Chen Computer Science M.Eng., 2017	Jupyter Notebooks for Finite Element Analysis
Michael Ficenic Computer Science M.Eng., 2017	Network Classification via Spectral Features
Paul West Computer Science M.Eng., 2017	Optimization with Pre-Emptible VMs
Joel Lubitinsky Computer Science M.Eng., 2017	Resource-Coupled Evolutionary Games
Ioana-Maria Tamas Computer Science M.Eng., 2017	Resource-Coupled Evolutionary Games
Batu Inal Computer Science M.Eng., 2016	Super Seminar Scraper
Sania Nagpal Computer Science M.Eng., 2016	Fast Trial Spaces for Parameterized PageRank Problems
Suarabh Netravalkar Computer Science M.Eng., 2016	Fast Trial Spaces for Parameterize PageRank Problems
Shitong Jia Computer Science M.Eng., 2016	Etch-a-Sketch 3D
Jing Jing Computer Science M.Eng., 2016	Super Seminar Scraper
Jiankun Lu Computer Science M.Eng., 2016	Super Seminar Scraper
Xiangyu Zhang Computer Science M.Eng., 2016	Edge-Weighted Parameterized PageRank: A Demo
Markus Salasoo Computer Science M.Eng., 2016	Edge-Weighted Parameterized PageRank: A Demo
Ziyang Tang Computer Science M.Eng., 2016	Optimizing Price of Anarchy in a Model of Opinion Formation
Jia Zhang Computer Science M.Eng., 2016	Spectral Histograms on Networks
Xiaoan Yan Computer Science M.Eng., 2015	Edge-Weighted Parameterized PageRank: A Demo
Chen Ting-Hao Electrical Engineering M.Eng., 2013	MEMS Simulation as a Service
Syed Hassan Computer Science M.Eng., 2013	MEMS Simulation as a Service
Kim Young Jae Computer Science M.Eng., 2013	Teaching Support Vector Machines to Predict Profitable Stock Offers
Jungmin Yun Computer Science M.Eng., 2012	Python Implementation of a Stochastic RBF Optimization Method
Jesseon Chang Computer Science M.Eng., 2012	Python Implementation of a Stochastic RBF Optimization Method
Chen-Yi Chen Computer Science M.Eng., 2012	A Flexible Interface to FEAP
Scott Purdy Computer Science M.Eng., 2010	Process Replication for HPC Applications
Peter Hunt Computer Science M.Eng., 2010	Process Replication for HPC Applications
Silvio Tarca Scientific Computing (NYU) M.S., 2010	Performance Optimization of Symmetric Factorization Algorithms

Undergraduate students

Ethan Hersch	Multifidelity Bayesian Optimization (2024)
Alkis Bouklas	Nonlinear Eignvalues for Periodic Potential Eigenvalue Problems (2023)
Chad Yu	Walk on Spheres (2023)
Yeuk Yin (Roy) Lam	Varying GP Length Scales with Height Fields (2023)
Austin Zhao	Stellarator Computations (2023)
Tejal Nair	Variational Gaussian Processes (2023)
Tony Xu	Stability-Constrained Optimization for Stellarators (2023)
Sean Yang	Near-Axis Expansion of Stellarators in Julia (2023)
Stella Dang	Soliton Stability (2022)
Paco Rilloraza	Stellarator Optimization (2020)
Catherine Horng	Learning to Cluster (2020)
Shengye Zang	Learning to Cluster (2020)
Andrew Yates	Nonlinear Eigenvalue Problems and Traveling Wave Stability (2020)
Ziwei Gu	Learning to Cluster (2020)
Leo Huang	Fast Bayesian Transformed Gaussian Prediction (2019)
Cameron Ibrahim	Fast Bayesian Transformed Gaussian Prediction (2019)
Sungjun Cho	Spectral Topic Modeling (2017)
Nathaniel Rogalskyj	Identifying Network Changes from Ringdown Analysis (2016)
Anna Yesypenko	Graph Analysis via Density of States (2016)
Moteleolu Onabajo	Graph Analysis via Density of States (2016)
Jianqiu Wang	Graph Analysis via Density of States (2016)
Humam Alwassel	Automated Floating Point Error Analysis (2015)
Patrick Chen	Super Seminar Scraper (2015-16)
Jooyoung Park	Maximum Entropy Method Implementation in MATLAB (2015)
Sheroze Sherifdeen	MatScat for Python (2015-16)
Nimit Sohoni	Review of the FEAST Eigensolver (2015)
Leon Davis	Diagonal Completion for Low-Rank Matrices (2015)
Greg Rosenthal	PageRank with Random Edge Weights (2015)
Eric Ma	Graph Analysis via Spectral Histograms (2015)
Brandon Hartz	Fast PageRank on Parameter-Dependent Graphs (2014)
Marshall Jiang	Randomly Projected GMRES (2014-15)
Kyu-Young Kim	Evaluating Overlapping Community Detection via Matrix Factorizations (2011-12)
Jiexun Xu	Fast Factorizations for Network Tomography (2008)
Iva Vukicevic	Error Bounds and Estimates for a Discrete Sine-Gordon Equation (2008)
Daniel Parry	Bounds on Biased and Unbiased Random Walks (2008)
Anwis Davis	MEMS Web Service (2002)
Ernest Zhu	MEMS Web Service (2001)
Wayne Kao	MEMS Web Service (2001)

Thesis committees

Current

Julian Bellavita (Computer Science)
Jonah Botvinivk-Greenhouse (Applied Math)
Jacob Brown (Applied Math)
Poompol Buathong (Applied Math)
Aditya Chetan (Computer Science)
Michael Czeskanski (Statistics)
Yuanqi Du (Computer Science)
Youssef Fahmy (Statistics)
Tayler Fernandes Nuñez (Applied Math)
Mallory Gaspard (Applied Math)
Arnav Gupta (Theoretical and Applied Mechanics)
Alon Jacobson (ORIE)
Kapil Khanal (Systems Engineering)
Si Yi Meng (Computer Science)
Vaibhav Mehta (Computer Science)
Mohammad Mousavi (Mechanical Engineering)
Darian Nwankwo (Computer Science)
Shawn Ong (Applied Math)
Cade Sbrocco (Physics)
Zhongdi Qu (Computer Science)
Jiatian Sun (Computer Science)
Katerina Tang (Applied Math)
Calvin Tolbert (ORIE)
Albert Tseng (Computer Science)
Qian Xie (Operations Research)
Yi Xu (Computer Science)
Yunxiang Zhang (Operations Research)
Jennifer Zvonek (Applied Math)

Graduated

Tushaar Gangavarapu Computer Science M.S., 2024	Linear recurrent models for robust and interpretable long-context modeling
Ariel Kellison Computer Science Ph.D., 2024	Type-Based Approaches to Rounding Error Analysis
Junxiong Wang Computer Science Ph.D., 2024	Tuning Data System using Reinforcement Learning
Xinchen Xu Applied Math Ph.D., 2024	Interaction Patterns and Collective Outcomes in Network Systems
Aaron Wheeler Chemical Engineering Ph.D., 2024	Generative Models for Financial Market Simulation
Shriya Nagpal Applied Math Ph.D., 2024	Synchronization in Networks of Coupled Phase Oscillators: From Designing for Robustness to Exploring Emergent Patterns
Chiatai Chen Applied Physics Ph.D., 2024	Effects of Pulsed Magnetic Mirror on Wire Array Z-Pinch Precursor Dynamics and X-Ray Generation
Max Ruth Applied Math Ph.D., 2024	Numerical Methods for Identifying Integrability with Applications in Plasma Confinement
Xinran Zhu Applied Math Ph.D., 2024	Scalable Gaussian processes and Bayesian optimization with application to hyperparameter tuning
Yujia Zhang Applied Math Ph.D., 2024	Safe University Instruction During COVID-19: Simulation, Statistics, and Uncertainty Quantification
Yandong Li Applied Physics Ph.D., 2023	Towards Robust Photonic Information Processing -- Fundamentals, Designs, Limitations, and Improvements
Yuchen Xu Statistics Ph.D., 2023	Statistical Advances in Simultaneous Diagonalization and Joint Object Detection
Dongping Qi Applied Math Ph.D., 2023	Challenges in Continuous Path Planning: Rarefactions, Uncertainty, and Reinforcement Learning
Yurong You Computer Science Ph.D., 2023	Enhancing 3D Perception with Unlabeled Repeated Historical Data for Autonomous Vehicles
Misha Padidar Applied Math Ph.D., 2023	Challenges in the optimization-aided design of magnetic confinement systems
Christophe Bonneville Civil Engineering Ph.D., 2023	Bayesian Machine Learning Algortihms for Uncertainty Quantification, Optimization, and Equation Discoveries in Engineering Physics
Max Lipton Mathematics Ph.D., 2023	Dynamical Systems in Pure Mathematics
Jikun Wang Mechanical Engineering Ph.D., 2023	Time-dependent Damage of Soft Materials with Bond Breaking and Healing Kinetics
Raul Astudillo Marban Operations Research Ph.D., 2022	Exploting Composite Functions in Bayesian Optimization
Mengqi Xia Computer Science Ph.D., 2022	Physically Realistic Rendering of Complex Materials Using Wave Optics
Qinru Shi Applied Math Ph.D., 2022	Combinatorial Optimization and Decision-Making with Applications in Computational Sustainability
Sebastian Ament Computer Science Ph.D., 2022	Advances in Bayesian and Sparse Optimization for Autonomous Scientific Discovery
John Ryan Computer Science Ph.D., 2022	Fast Kernel Matrix Approximations by Series Expansions
Hubert Lin Computer Science Ph.D., 2022	Towards Robust Visual Perception Systems in Real-World Environments
Tianyi Shi Applied Math Ph.D., 2022	Tensor Computations with Dimensionality Manipulations
Andrew Horning Applied Math Ph.D., 2021	Computing Spectral Properties of Infinite-Dimensional Operators
Fujun Luan Computer Science Ph.D., 2021	Forward and Inverse Rendering with Gradient-Based Optimization
Ankita Mukhtyar Chemical Engineering Ph.D., 2021	Towards Understanding the Disorder to Order Transitions in Soft Materials
Junteng Jia Computer Science Ph.D., 2021	Modeling and Learning Attributed Graphs
Gabriela Calinao Correa Material Science M.S., 2020	Direct electron detectors: architecture and algorithms
Aasim Ayaz Wani Chemical Engineering M.S., 2020	Computer Aided Retrosynthesis for Metabolic Pathways
Eric Lee Computer Science Ph.D., 2020	Budget-Constrained Bayesian Optimization
Chaitali Joshi Physics Ph.D., 2020	Frequency Domain Quantum Processing via Four-Wave Mixing
Enrique Rojas Atmospheric Science Ph.D., 2020	Farley-Buneman instabilities in the auroral region: Continuous hybrid simulations and empirical modeling.
Saul Toscano Operations Research Ph.D., 2019	Grey-Box Bayesian Optimization: Improving Performance by Looking Inside the Black-Box
Calvin Wylie Operations Research Ph.D., 2019	Partly Smooth Models and Algorithms
Kun Dong Applied Math Ph.D., 2019	Randomized Numerical Linear Algebra for Large-Scale Matrix Data
Marc Gilles Applied Math Ph.D., 2019	At the intersection of differential equations and optimization: inverse problems, path planning and Krylov subspaces
Shreyas Honrao Material Science Ph.D., 2018	DFT study of the complex diffusion of oxygen in cobalt and machine learning of ab-initio energy landscapes for crystal structure predictions.
David Eriksson Applied Math Ph.D., 2018	Scalable kernel methods and their use in black-box optimization
Sheng Wang Mechanical Engineering Ph.D., 2018	Towards large-scale simulations of two-phase flows with moving contact lines in complex geometries
Yu Su Chemical Engineering Ph.D., 2018	Modeling many-body hydrodynamic interactions in concentrated colloidal suspensions via large-scale dynamic simulations
Moontae Lee Computer Science Ph.D., 2018	Joint-stochastic spectral inference for robust co-occurrence modeling and latent topic analysis
Jiayi Guo Operations Research Ph.D., 2018	Smooth Quasi-Newton Methods for Nonsmooth Optimization
Benjamin Revard Material Science Ph.D., 2017	Development of an Evolutionary Algorithm for the Ab Initio Discovery of Two-Dimensional Materials
Nicholas Savva Computer Science M.S., 2017	A Practical Framework for Measuring and Modeling the Appearance of Strongly Anisotropic Materials
Zachary Clawson Applied Math Ph.D., 2017	Shortest Path Problems: Domain Restriction, Anytime Planning, and Multi-Objective Optimization
Amanda Hood Applied Math Ph.D., 2017	Localizing the eigenvalues of matrix-valued functions: analysis and applications
Sepehr Saroukhani Civil Engineering Ph.D., 2017	Atomistic Modeling of Dislocation Motion at Experimental Time-Scales
Michael Meyer Computational Biology Ph.D., 2017	Methods for Functional Inference in the Proteome and Interactome
William Nicholson Statistics Ph.D., 2016	Tools For Modeling Sparse Vector Autoregressions
Kyle Wilson Applied Math Ph.D., 2016	Robustly Modeling The World From Photos
Danielle Toupo Applied Math Ph.D., 2016	Nonlinear Dynamics Of Cycles In Evolutionary Games
Colin Ponce Computer Science Ph.D., 2016	Network-Structured Error Flattening For Power Grids And Other Real-World Networks
Erdal Yilmaz Applied and Engineering Physics Ph.D., 2016	Design, Analysis And Simulation Of Microscale Solid-Wave Gyroscopes
Shuo Chen Computer Science Ph.D., 2016	Representation Learning For Sequence And Comparison Data
Manuel Diaz Civil Engineering Ph.D., 2015	A Modified Error In Constitutive Equation Approach For Viscoelasticity Imaging With Interior Data
Parvez Sukheswalla Mechanical Engineering Ph.D., 2015	Computational Investigation Of The Dynamics Of Inertial Particles In Homogeneous Turbulent Shear Flow
Hyung Joo Park Applied Math Ph.D., 2015	Topics In Structure Determination Of Submicron Sized Objects
Wenlei Xie Computer Science Ph.D., 2015	Iterative Graph Computation In The Big Data Era
Tao Zou Computer Science Ph.D., 2015	Optimizing Response Time For Distributed Applications In Public Clouds
Santoshkalyan Rayadhurgam Chemical Engineering M.S., 2015	Computational Study Of Charge Conducting Spacer Molecules In Leadchalcogenide Quantum Dots
Shashank Adimulam Electrical Engineering M.S., 2015	Hardware Model Of A Mixed Radix Fast Fourier Transform For LTE 3Gpp
Laura Fegely Electrical Engineering Ph.D., 2014	Goblits To OMG: 3D Fabrication Techniques For An Opto-Mechanical Gyroscope
James Warner Civil Engineering Ph.D., 2014	Advances In Uncertainty Quantification And Inverse Problems In Computational Mechanics
Adam Chacon Applied Math Ph.D., 2014	Eikonal Equations: New Two-Scale Algorithms And Error Analysis
Anthony Sabelli Applied Math Ph.D., 2013	Novel Methods For Source Localization And Material Identification
Ilias Bilionis Applied Math Ph.D., 2013	Bayesian Methods For Uncertainty Quantification
Guozhang Wang Computer Science Ph.D., 2013	Automatic Scaling Iterative Computations
Jeffrey Chadwick Computer Science Ph.D., 2013	Sound Synthesis For Physics-Based Computer Animation
David Rowinski Mechanical Engineering Ph.D., 2013	Calculations Of Turbulent Reacting Flows Using PDF Methods
Ananth Kaushik Chemical Engineering Ph.D., 2013	A Computational Study Of The Molecular And Electronic Structure Of Self-Assembled Nanocrystal Superlattices
Ryan Peterson Computer Science Ph.D., 2012	Efficient Content Distribution With Managed Swarms