Meet the M²LInES team

Photo of Laure Zanna

Laure Zanna

Lead PI & Scientific Coordinator

NYU, Courant Institute + Center for Data Science

Ocean - Climate - 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

Ocean - Model Development

Photo of Carlos Fernandez-Granda

Carlos Fernandez-Granda

Head of Machine Learning

NYU, Courant Institute + Center for Data Science

ML - Signal Processing

Photo of Joan Bruna

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

ML - Signal Processing

Photo of Ryan Abernathey

Ryan Abernathey

Head of Big Data

Lamont/Columbia University

Ocean - Data

Photo of Brandon Reichl

Brandon Reichl

Research Scientist

NOAA-GFDL in Ocean division

Ocean - Geophysical Fluid Dynamics

Photo of Feiyu Lu

Feiyu Lu

Research Scientist

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

Ocean - Data assimilation - Seasonal prediction

Photo of Judith Berner

National Center for Atmospheric Research

Atm - Data Assimilation - Mesoscale and Microscale Meteorology

Photo of Marika Holland

National Center for Atmospheric Research

Sea-Ice parameterizations

Photo of Mitch Bushuk

Mitch Bushuk

Research Scientist

UCAR, Affiliate NOAA-GFDL in Ocean division

Sea Ice - Data Assimilation - Predictability

Photo of Pierre Gentine

Columbia University

Atm Processes

Photo of Paul O'Gorman

MIT

Atm - Convection

Photo of Julie Deshayes

IPSL

Ocean - Models and model tuning

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

Atm - 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

ML - Interpretability

Photo of Lorenzo Zampieri

National Center for Atmospheric Research

Sea Ice - HR data and observations - Modelling and Predictability

Photo of Cem Gultekin

Cem Gultekin

Graduate Student

NYU, Courant Institute

ML - Interpretability and Deep Learning

Photo of Tarun Verma

Tarun Verma

Postdoc

Princeton University

Ocean - Predictability, and Machine Learning

Photo of Ziwei Li

Ziwei Li

Postdoc

NYU, Courant Institute

Atm - Ocean - 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)

Ocean - Computational fluid mechanics, turbulence…

Photo of Pavel Perezhogin

Pavel Perezhogin

Postdoc

NYU, Courant Institute

Ocean - ML, Momentum closures in ocean, Large-eddy simulation

Photo of Will Chapman

National Center for Atmospheric Research

Atm - Data Assimilation - ML

Photo of Will Gregory

Princeton University, Affiliate NOAA-GFDL

Sea ice - Data Assimilation - ML - predictability

Photo of Abigail Bodner

Abigail Bodner

Affiliate, Postdoc

NYU, Courant Institute

Ocean surface processes, Ocean modeling

Photo of Andrew Brettin

Andrew Brettin

Affiliate, Graduate Student

NYU, Courant Institute

Ocean - Sea level variability

Photo of Mario Herrero-Gonzalez

Mario Herrero-Gonzalez

Affiliate, Graduate Student

Columbia University

Data Assimilation and Deep Learning

Photo of Karl Otness

Karl Otness

Affiliate, Graduate Student

NYU, Courant Institute

ML - Simulation

Photo of Mohamed Aziz Bhouri

Mohamed Aziz Bhouri

Affiliate, Postdoc

Columbia University

Model order reduction and Physics-informed Machine Learning

Photo of Hugo Frezat

Hugo Frezat

Affiliate, Graduate Student

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

Ocean - ML - Turbulence paramezizations

Photo of Adrien Burq

Adrien Burq

Affiliate, Graduate Student

Columbia University

Atm - ML

Photo of Fabrizio Falasca

Fabrizio Falasca

Affiliate, Postdoc

NYU, Courant Institute

Ocean - Data mining, Complex systems, Dynamical systems

Photo of Adam Subel

Adam Subel

Affiliate, Graduate Student

NYU, Courant Institute

ML - Parametrization

Photo of Elizabeth Yankovsky

Elizabeth Yankovsky

Affiliate, Postdoc

NYU, Courant Institute

Ocean Mesoscale and Submesoscale Turbulence; Arctic Dynamics

Photo of Sara Shamekh

Sara Shamekh

Affiliate, Postdoc

Columbia University

Atm - Boundary Layer - ML

Photo of Chris Dupuis

Chris Dupuis

Affiliate, Staff Associate

Lamont/Columbia University

Atmospheric statistics, Software architecture, Principal component analysis

Photo of J Emmanuel Johnson

J Emmanuel Johnson

Affiliate, Postdoc

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

Ocean - Data Assimilation- Machine Learning

Photo of Chris Pedersen

NYU, Courant Institute

Deep Learning - Simulations

Photo of Maria Prat Colomer

Maria Prat Colomer

Affiliate, Grad Student

NYU, Courant Institute

ML, Signal Processing

Photo of Nora Loose

Nora Loose

Postdoc

Princeton University

Ocean - Eddy parameterizations, Modeling, ML

Photo of David Kamm

David Kamm

Affiliate, Graduate Student

IPSL

Ocean Modeling, Eddy Parameterizations