Meet the M²LInES team

Photo of Laure Zanna

Laure Zanna

Lead PI & Scientific Coordinator

NYU, Courant Institute + Center for Data Science

Climate and Ocean Dynamics, Machine Learning

Photo of Johanna Goldman

Johanna Goldman

Project Manager

NYU, Courant Institute

Project Management, Oceanography, Sciences Communication

Photo of Alistair Adcroft

Alistair Adcroft

Head of Modeling

Princeton University, Affiliate NOAA-GFDL in Ocean division

Oceanography, Model Development

Photo of Carlos Fernandez-Granda

Carlos Fernandez-Granda

Head of Machine Learning

NYU, Courant Institute + Center for Data Science

Machine Learning, Signal Processing

Photo of Joan Bruna

NYU, Courant Institute + Computer Science + Center for Data Science

Machine Learning, Signal Processing

Photo of Ryan Abernathey

Ryan Abernathey

Head of Big Data

Lamont/Columbia University

Earth and Environmental Sciences

Photo of Brandon Reichl

Brandon Reichl

Research Scientist

NOAA-GFDL in Ocean division

Geophysical Fluid Dynamics

Photo of Feiyu Lu

Feiyu Lu

Research Scientist

Princeton University, Affiliate NOAA-GFDL in Seasonal-decadal division

Data assimilation, Seasonal prediction

Photo of Judith Berner

National Center for Atmospheric Research

Mesoscale and Microscale Meteorology

Photo of Marika Holland

National Center for Atmospheric Research

Paleo and Polar Climate Research

Photo of Mitch Bushuk

Mitch Bushuk

Research Scientist

UCAR, Affiliate NOAA-GFDL in Ocean division

Sea Ice Predictability, Polar Oceanography

Photo of Pierre Gentine

Columbia University

Earth and Environmental Engineering

Photo of Paul O'Gorman

MIT

Atmospheric Science

Photo of Julie Deshayes

IPSL

Physical Oceanography

Photo of Julien Le Sommer

L’Institut des Géosciences de l’Environnement (IGE)

Ocean Fine Scale Processes, Ocean Circulation Models

Photo of Arthur Guillaumin

NYU, Courant Institute

Machine learning, Statistics

Photo of Janni Yuval

MIT

Physics, Climate, Machine Learning

Photo of Alex Connolly

Columbia University

Atmospheric Boundary Layer and Machine Learning

Photo of Aakash Sane

Princeton University, Affiliate NOAA-GFDL in Ocean Division

Ocean Surface Boundary Layer, Machine Learning

Photo of Andrew Ross

NYU, Courant Institute

Machine Learning, Interpretability

Photo of Lorenzo Zampieri

National Center for Atmospheric Research

Sea Ice Modelling and Predictability

Photo of Cem Gultekin

Cem Gultekin

Graduate Student

NYU, Courant Institute

Interpretability and Deep Learning

Photo of Tarun Verma

Tarun Verma

Postdoc

Princeton University

Climate Dynamics, Predictability, and Machine Learning

Photo of Ziwei Li

Ziwei Li

Postdoc

NYU, Courant Institute

Atmospheric Science, Machine Learning

Photo of Dhruv Balwada

Dhruv Balwada

Associate Research Scientist

Lamont/Columbia University

Ocean macro-turbulence and tracer transport

Photo of Cheng Zhang

Cheng Zhang

Postdoc

Princeton University

Ocean modelling, Machine learning, Data assimilation

Photo of Anastasiia Gorbunova

Anastasiia Gorbunova

Postdoc

L’Institut des Géosciences de l’Environnement (IGE)

Computational fluid mechanics, turbulence statistics

Photo of Pavel Perezhogin

Pavel Perezhogin

Postdoc

NYU, Courant Institute

Momentum closures in ocean, Large-eddy simulation

Photo of Will Chapman

National Center for Atmospheric Research

Atmospheric Dynamics and Machine Learning

Photo of Will Gregory

Princeton University, Affiliate NOAA-GFDL

Sea ice predictability and Machine Learning