Data Science Coast To Coast — Ocean Dynamics

Data Science Coast to Coast

June 16, 2021
12:00pm to 1:00pm
Virtual Participation

Data Science Coast To Coast — Ocean Dynamics
Date: Wednesday, June 16, 2021
Time: 12:00–1:00 PM Pacific 
Attend this webinar using this Zoom link.

The Data Science Coast to Coast (DS C2C) seminar series is hosted jointly by seven academic data science institutes — BIDS, NYU’s Center for Data Science, Rice University’s Ken Kennedy Institute, Stanford Data Science, the University of Michigan’s Michigan Institute for Data Science (MIDAS), and the University of Washington’s eScience Institute, and Johns Hopkins University's Institute of Data Intensive Engineering and Science (IDIES) — to provide a unique opportunity to foster a broad-reaching data science community. In the first half of 2021, DS C2C will host five seminars, each featuring one faculty member and one postdoctoral fellow from two universities. Each speaker will give a 20-minute talk about ongoing projects and motivating issues, followed by 20 minutes of discussion with the audience. These seminars will be the launching point for follow-on research discussion meetings that will hopefully lead to fruitful collaborative research.

Oceanic stirring and Mixing of Passive Scalars: A Novel Closure

Miguel Jimenez-UriasPostdoctoral Fellow, Earth and Planetary Sciences, Johns Hopkins University

Blending Machine Learning and Physics to Improve Climate Models

Laure Zanna, Professor of Mathematics & Atmosphere/Ocean Science, New York University

All events in the series are free to attend, and all who are interested are welcome and encouraged to participate. Questions may be directed to Jing Liu (ljing@umich.edu), Managing Director of MIDAS.

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Speaker(s)

Miguel Jimenez-Urias

Postdoctoral Fellow, Earth and Planetary Sciences, Johns Hopkins University

Laure Zanna

Professor of Mathematics & Atmosphere/Ocean Science, New York University