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Andrew Poje

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After obtaining his Ph.D. at the Sibley School for Mechanical and Aerospace Engineering at Cornell University, he held post-doctoral research positions at the Institute for Geophysics and Planetary Physics at Los Alamos National Lab and in the Division of Applied Mathematics at Brown University. His main research area is fluid turbulence, with particular interest in transport problems in geophysical turbulence. He has authored and co-authored numerous publications in numerical analysis, turbulent transport, Lagrangian turbulence and dynamical systems theory applied to Lagrangian coherent structures. Dr. Poje has been an investigator on several ONR and NSF multi-institutional collaborations linking mathematicians and oceanographers. He currently leads CUNY's involvement in the Consortium for Advanced Research on the Transport of Hydrocarbons in the Environment (, a multi-institutional team funded by the Gulf of Mexico Research Initiative to study pollutant transport in the wake of the DeepWater Horizon spill.

Contact Information

Andrew Poje, PhD


College of Staten Island
Email Andrew Poje, PhD


  • College of Staten Island, Department of Mathematics
  • CUNY Graduate Center, Physics Program



  • Computational Fluid Dynamics
  • Numerical Analysis
  • Large-scale Simulations
  • Fluid Turbulence
  • Non-linear Dynamics

Research Title

Multi-scale, multi-phase turbulent transport in environmental hydrocarbon plumes

The DeepWater Horizon incident, a sustained release of hydrocarbons at a water depth of 1.5km, was an entirely unprecedented, anthropomorphic environmental event. Accurate predictive modeling of any future catastrophe requires fundamental leaps in our understanding of the overall transport, evolution and ultimate fate of hydrocarbons from the release point, through the water column and towards the shore. The primary goal of the present research to gain this understanding, using the resources of the HPCC as a computational fluid dynamics laboratory in which to conduct experiments on the dynamics of turbulent, multi-phase (oil-gas-seawater)  mixtures.

1) Özgökmen, T.M., Poje, A.C., Fischer, P.F., Childs, H., Krishnan, H., Garth, C., Haza, A.C., Ryan, E.

On multi-scale dispersion under the influence of surface mixed layer instabilities and deep flows (2012) Ocean Modelling, 56, pp. 16-30. Cited 17 times.


2) Fabregat Tomàs, A., Poje, A.C., Özgökmen, T.M., Dewar, W.K.

Effects of rotation on turbulent buoyant plumes in stratified environments (2016) Journal of Geophysical Research: Oceans, 121 (8), pp. 5397-5417. Cited 3 times.


3) Tomàs, A.F., Poje, A.C., özgökmen, T.M., Dewar, W.K.

Dynamics of multiphase turbulent plumes with hybrid buoyancy sources in stratified environments (2016) Physics of Fluids, 28 (9), art. no. 095109, .


4) Dritschel, D.G., Lucia, M., Poje, A.C.

Ergodicity and spectral cascades in point vortex flows on the sphere (2015) Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, 91 (6), art. no. 063014, .


5) Tomàs, A.F., Poje, A.C., özgökmen, T.M., Dewar, W.K.

Numerical simulations of rotating bubble plumes in stratified environments (2017) Journal of Geophysical Research: Oceans, 122(8), 6795-6813.


6) Fabregat, A., Dewar, W.K., Özgökmen, T.M., Poje, A.C., Wienders, N.

Numerical simulations of turbulent thermal, bubble and hybrid plumes (2015) Ocean Modelling, 90, pp. 16-28. Cited 12 times.

Gulf of Mexico Research Initiative - CARTHE (administered by U. Miami)

Robert Numrich (CUNY HPCC)
Eugene Deditz  (CUNY HPCC)
Alexander Tzanov (CUNY HPCC)
Alexander Fabregat-Tomas (CUNY CSI)
Tamay Ozgokmen (U. Miami)
Bruce Lipphardt and A.D. Kirwan (U. Deleware)
David Dritschel (U. St. Andrews, Scotland)
Marcello Lucia (CUNY CSI)
Tobias Schaffer (CUNY CSI)
Carlo Lancellotti (CUNY CSI)
Bala Sundaram (U. Mass Boston)

SALK, the Cray machine, has been the primary computational platform for running the large-scale (100-1,000 core) jobs, including turbulence resolving simulations using the highly scalable NEK-5000 Navier-Stokes solver, locally written Co-Array Fortran codes for transport studies with available ocean model outputs, and Co-Array Fortran codes for evolving very large, coupled point-particle, statistical mechanical systems.

Appel, running the highly-scalable Gerris Flow Solver package, serves as the primary platform for direct numerical simulations of turbulence-droplet dynamics in multi-phase atomization studies.