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PhD Students

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Photograph Name E-mail Affiliations Research Interests
Arndt, Carl-Fredrik cfarndt@stanford.edu
  • High-dimensional Statistics
  • Mathematical Finance
  • Econophysics
  • Probability Theory
Backer, Adam abacker@stanford.edu
Web
  • Single-molecule microscopy
  • Fourier optics
  • Computational imaging
Hyun Bae Bae, Hyunji Jane hjbae@stanford.edu
Web
  • Mathematical modeling
  • Numerical analysis
Tania Bakhos, Tania taniab@stanford.edu
Web
Barmherzig, David davidbar@stanford.edu
Benson, Austin arbenson@stanford.edu
Web
  • Data mining
  • Network and matrix computations
  • Parallel, distributed, and high-performance computing
Bergen, Karianne kbergen@stanford.edu
Web
Brown, Erin browne@stanford.edu
Cambier, Leopold lcambier@stanford.edu
  • Numerical Linear Algebra
  • Optimisation
Camelo, Sergio camelo@stanford.edu
  • Convex Optimization
  • Approximation Algorithms
  • Statistical Machine Learning

www.sergiocamelo.com

Chen, Luyang lych@stanford.edu
Chen, Chao cchen10@stanford.edu
Web
  • Numerical linear algebra
  • Parallel computing
  • Fast algorithms
Choi, Je-ok jchoi89@stanford.edu
Web
Yin-Lam Chow Chow, Yin-Lam ychow@stanford.edu
  • Control theories
  • Optimization methods
Damle, Anil damle@stanford.edu
Web
  • Numerical linear algebra
  • Fast algorithms
  • Scientific computing
  • Matrix analysis
Decoster, Bertrand decoster@stanford.edu
Dwaraknath, Anjan anjandn@stanford.edu
  • Numerical linear algebra
  • Optimization
  • Partial differential equations
Estrin, Ron restrin@stanford.edu
  • Numerical linear algebra
  • Fast algorithms
  • Matrix analysis
  • Optimization
Fleeter, Casey cfleeter@stanford.edu
Friend, AJ ajfriend@stanford.edu
Fu, Xing xingfu@stanford.edu
Gao, Pengfei pfgao@stanford.edu
Ghili, Saman samang@stanford.edu
Harris, Dan dsmith@gmail.com
Huang, Zhengyu (Daniel) zhengyuh@stanford.edu
  • Partial differential equations
  • Numerical linear algebra
  • Stochastic simulation
Ibrahima, Fayadhoi fibrahim@stanford.edu ICME, Energy Resources Engineering
  • Stochastic PDEs
  • Two-phase flow
  • Uncertainty quantification
  • Optimization
Ioannidis, Alexander ioannid@stanford.edu
Jimenez, Nicolas njimene2@stanford.edu
Jo, Brian brianjo@stanford.edu
Web
ICME
  • Deformable modeling
  • Computer graphics and physically-based rendering
  • Market microstructure
Kasmalkar, Indraneel ineel@stanford.edu
  • Computational cognitive science: building mathematical models for brain operations like learning, concept understanding, language.
  • Numerical methods
  • Functional analysis
Kent, Carson crkent@stanford.edu
Keramati, Ramtin keramati@stanford.edu
Klockiewicz, Bazyli bazyli@stanford.edu
Lakkam, Milinda milindal@stanford.edu
Web
  • Mathematical and statistical modeling
  • Decision science
  • Health policy
Lei, Lei leilei@stanford.edu
  • Stochastic process
  • High-dimensional data analysis 
Leibovich, Matan matanle@stanford.edu
  • PDEs & Stochastic processes in applied sciences
  • Computational physics
  • Wave propagation in complex media
Lewis, Ryan H. rhl@stanford.edu
  • Applied Topology
  • Numerical Linear Algebra
Li, Mavis mavisli@stanford.edu
Li, Ryan ryanli@stanford.edu
Web
  • Distributed memory parallel computing
  • Application of hierarchhical matrix
Li, Dangna dangna@stanford.edu
Lindsey, Martin mlindsey@stanford.edu
  • Computational Physics
Liu, Fei liufei@stanford.edu
Lyman, Laura lymanla@stanford.edu
  • Probability
  • Optimization
  • Partial differential equations
Ma, Yinbin yinbin@stanford.edu
Maddix, Danielle dcmaddix@stanford.edu
  • Numerical methods for PDEs
  • Computational fluid dynamics
  • Numerical linear algebra
  • Parallel computing
Maher, Gabriel gdmaher@stanford.edu
Eileen Martin Martin, Eileen ermartin@stanford.edu
Web
  • Seismic imaging (time-lapse, passive/ambient noise, FWI)
  • PDEs
  • Scientific computing
Mei, Song songmei@stanford.edu
Web
  • Fast Algorithms in Scientific Computing
  • Mathematical Imaging
  • Applied Harmonic Analysis
  • Convex Optimization
Meng, Xiangrui mengxr@stanford.edu
Web
  • Preconditiong for large-scale linear systems
  • Sparse recovery
  • CADS: Computational Approaches to Digital Stewardship
  • Adaptive methods for PDEs
Victor Minden Minden, Victor vminden@stanford.edu
Web
  • Numerical linear algebra
  • Scientific computing
  • Fast algorithms
  • Optimization

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