Students and Postdoctoral Associates

Postdoctoral associates

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

PhD students

Caira Anderson
Applied Math 		MHD stability in stellarators
Michael Czekanski
Statistics 		Monte Carlo transport calculations for stellarators
Ariel Kellison
Computer Science 		Formal verification of numerical methods
Darian Nwankwo
Computer Science 		Transformed kernel methods for prediction and optimization
Max Ruth
Applied Math 		Nonlinear dynamics and stellarators
Xinran Zhu
Applied Math 		Numerical analysis of kernel methods
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

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

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

  1. Griffin Berlstein (Computer Science)
  2. Jonah Botvinivk-Greenhouse (Applied Math)
  3. Jacob Brown (Applied Math)
  4. Poompol Buathong (Applied Math)
  5. Chiatai Chen (Applied Physics)
  6. Aditya Chetan (Computer Science)
  7. Michael Czeskanski (Statistics)
  8. Youssef Fahmy (Statistics)
  9. Tayler Fernandes Nuñez (Applied Math)
  10. Mallory Gaspard (Applied Math)
  11. Arnav Gupta (Theoretical and Applied Mechanics)
  12. Ariel Kellison (Computer Science)
  13. Kapil Khanal (Systems Engineering)
  14. David Lee (Computer Science)
  15. Yandong Li (Computer Science)
  16. Si Yi Meng (Computer Science)
  17. Shriya Nagpal (Applied Math)
  18. Darian Nwankwo (Computer Science)
  19. Shawn Ong (Applied Math)
  20. Max Ruth (Applied Math)
  21. Cade Sbrocco (Physics)
  22. Jiatian Sun (Computer Science)
  23. Katerina Tang (Applied Math)
  24. Jiayue Wan (Operations Research)
  25. Junxiong Wang (Computer Science)
  26. Aaron Wheeler (Chemical Engineering)
  27. Xinchen Xu (Applied Math)
  28. Yujia Zhang (Applied Math)
  29. Yunxiang Zhang (Operations Research)
  30. Xinran Zhu (Applied Math)
  31. Jennifer Zvonek (Applied Math)

Graduated

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 		Nonlinear Viscoelasticity and Damage for Soft Materials
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