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Oana
Applied Mathematics Fluid Dynamics Research

Oana Marin

Basic Info About Me

Oana

I am a problem focused mathematician.

  • Name

    Oana Marin

  • Profession

    Applied Mathematician

  • Email

    oanam@anl.gov

  • Location

    Chicagoland

My Resume

  • Education

  • 2007-2012

    PhD in Applied Mathematics

    Royal Institute of Technology

    Numerical analysis with focus on Computational Fluid Dynamics. Boundary Integrals and Stokes flows.

  • 2005-2007

    MSc in Scientific Computing

    Royal Institute of Technology

    Numerical discretization of Partial Differential Equations.

  • 1999-2003

    BSc in Mathematics

    University of Bucharest

    Abstract Algebra and Computational Geometry.

  • Experience

  • 2013-present

    Computational Scientist

    Argonne National Laboratory

    Algorithms for Large Scale Computations

  • 2002-2005

    Researcher

    @Institute of Solid Mechanics, Romanian Academy

    Partial Differential Equations

  • 2006-2007

    Teacher of Mathematics

    @International English School

    Mathematics of all flavours for young minds

My Hobbies

Biking

Reading

Chat

Music

Wine tasting

Traveling

My Skills

Mathematical Modeling

90%

Programming

85%

Statistics

65%

Numerical Analysis

95%

Computational Fluid Dynamics

70%

Scientific writing

95%

Projects

My projects are driven by the needs of the fluid dynamics community and are focused on effcient and accurate mathematical solutions.

Numerical Analysis

  • Spectral Element Methods
  • Boundary Integral Methods
  • Matrix-free preconditioners
  • Matrix Calculus
  • Functional Analysis

Mathematical Modeling

  • Multiscale phenomena
  • Multiphase flows
  • Microscale particles
  • Non-newtonian fluids
  • Interface tracking

PDE-constrained optimization

  • Consistent adjoints
  • Automatic Differentiation
  • Reduced-Space optmization
  • Vectorized computations
  • Continous adjoints

Fluid Mechanics

  • Turbulent flows
  • Drops and bubbles
  • Nucleation
  • Transition to chaos
  • Reduced order models

Data Postprocessing

  • Statistical studies
  • Modal analysis
  • Modal Decomposition
  • Data compression
  • Error tracking

Data Assimilation

  • Ensemble Kalman
  • Variational DA
  • Localization
  • Machine Learning
  • Model reduction

Work Process

01

Prototype

Typically MATLAB

02

Validate

Test and assess accuracy and efficiency

03

Scale-up

Implement in PETSc to perform studies at scale

04

Publish

Promote work

Publications

My main focus lies in developing frameworks accross disciplines, and these ideas may be published in journals from Computational Fluid Mechanics to Numerical Analysis and Computer Science

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Turbulent duct flow

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Boundary integral quadrature

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POD on bent pipe

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Non-linear checkpointing

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Integration of singularities

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Pebble bed reactor simulation

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Data analysis on compressed sets

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Parallel scalability study

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Nonlinear unsteady PDE constrained optimization

Contact Me

I am open to new collaborations and for providing guidance to prospective Argonne hires.