Di Qi

Contact:

Courant Institute
New York University
251 Mercer Street
New York, NY 10012-1185


Email:

qidi at cims dot nyu dot edu

I'm currently a Ph.D. student at the Courant Institute of Mathematical Sciences and Center of Atmosphere and Ocean Science, New York University. I'm interested in applied and computational mathematics in general. I'm working on problems including uncertainty quantification and filtering for turbulent dynamical systems, and their applications in climate models. My advisor is Prof. Andrew Majda.

You can find my cv here.

Education & Qualifications arrow right

  • 2012 -- present Ph.D. in Mathematics (expected 2017), Courant Institute of Mathematical Sciences, New York University.
  • 2008 -- 2012    B.S. in major: Mathematics, minor: Physics, Shanghai Jiao Tong University, China.

Teaching & Course information arrow right

Publications & Preprints arrow right

  • “Low-dimensional reduced-order models for statistical response and uncertainty quantification: two-layer baroclinic turbulence”, with A. Majda, J. Atmos. Sci., submitted, June 2016.
  • “Low-dimensional reduced-order models for statistical response and uncertainty quantification: barotropic turbulence with topography”, with A. Majda, Physica D: Nonlinear Phenomena, submitted, May 2016.
  • “Stochastic superparameterization and multiscale filtering of turbulent tracers”, with Y. Lee and A. Majda, SIAM-MMS, submitted, April 2016.
  • “Preventing catastrophic filter divergence using adaptive additive inflation for baroclinic turbulence”, with Y. Lee and A. Majda, Mon. Weather Rev., submitted, April 2016.
  • “Improving prediction skill of imperfect turbulent models through statistical response and information theory”, with A. Majda, J. Nonlinear Science, vol. 26, issue 1, pp. 233-285, February 2016.
  • “Predicting fat-tailed intermittent probability distributions in passive scalar turbulence with imperfect models through empirical information theory”, with A. Majda, Comm. Math. Sci., vol. 14, no. 157, 2016.
  • “Blended particle methods with adaptive subspaces for filtering turbulent dynamical systems”, with A. Majda, Physica D: Nonlinear Phenomena, vol. 298, pp. 21–41, April 2015.
  • “Blended particle filters for large dimensional chaotic dynamical systems”, with A. Majda and T. Sapsis, Proc. Natl. Acad. Sci. USA., vol. 111, no. 21, pp. 7511–7516, May 2014.

Conferences & Talks arrow right

Awards & Fellowships arrow right

  • 2012 -- 2017 New York University MacCracken Graduate Scholarship.