Past Events

Spring 2023

Spring Lecture in Climate Data Science

Thursday || March 2, 2023 || 3:00pm

HOD LIPSON (Columbia University)
“Automating Discovery: From Cognitive Robotics to Particle Physics”

YouTube link

Spring Lecture in Climate Data Science

Thursday || February 16, 2023 || 3:00pm

JEAN-NOÉ LANDRY (Concordia University, Montréal)
“Climate Knowledge Transfer in a Time of Crises, Transitions, and New Collaborations”

YouTube link

AI FOR GOOD PROGRAMME

Wednesday || February 15, 2023 || 11:00am

PIERRE GENTINE (Columbia)
“Physics to Machine Learning, and Machine Learning Back to Physics”

 

LEAP ML Climate Journal Club

Thursday || February 9, 2023 || 12:00-1:00pm

KEVIN XIA (Columbia)
“The Causal-Neural Connection: Expressiveness, Learnability, and Inference”

YouTube link

pierre gentine

Spring Lecture in Climate Data Science

Thursday || February 2, 2023 || 3:00pm

PIERRE GENTINE (Columbia)
“Physics to Machine Learning, and Machine Learning Back to Physics”

YouTube link

LEAP ML Climate Journal Club

Thursday || January 26, 2023 || 12:00-1:00pm

AURÉLIEN RIBES (CNRM / Météo-France)
“An Adaption of Kalman Filtering for Climate Change”

YouTube link

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LEAP Year 2 Annual Meeting

Monday || January 16, 2023 – Wednesday || January 18, 2023

Day 1
Day 2

LEAP ML Climate Journal Club

Thursday || January 12, 2023 || 12:00-1:00pm

BLANKA BALOGH (CNRM, Université de Toulouse Météo-France)
“How to Calibrate a Dynamical System with Neural Network Based Physics”

YouTube link

2023 Train-the-Trainer Bootcamp

Thursday || January 5, 2023 – Friday || January 6, 2023 

Day 1
Day 2

Fall 2022

Fall Lecture in Climate Data Science

Thursday || December 8, 2022 || 3:00pm

JAKOB RUNGE (German Aerospace Center / TU Berlin)
“Causal Inference, Causal Discovery, and Machine Learning”

YouTube link

LEAP ML Climate Journal Club

Thursday || December 8, 2022 || 12:00-1:00pm

SARA SHAMEKH (Columbia)
“Implicit Learning of Convective Organization Explains Precipitation Stochasticity”

YouTube link

pierre gentine

CAIT Distinguished Lecture

Wednesday || December 7, 2022 || 12:00pm

PIERRE GENTINE (Columbia)
“Physics to Machine Learning and Machine Learning Back to Physics”

YouTube link

Fall Lecture in Climate Data Science

Thursday || November 17, 2022 || 3:00pm

PEDRAM HASSANZADEH (Rice)
“Learning Data-driven Subgrid-scale Models for Geophysical Turbulence”

YouTube link

LEAP ML Climate Journal Club

Thursday || November 10, 2022 || 12:00-1:00pm

JOSEPH BAKARJI (U.Washington)
“Dimensionally Consistent Learning With Buckingham Pi”

YouTube link

Fall Lecture in Climate Data Science

Thursday || November 3, 2022 || 3:00pm

** THIS LECTURE WAS POSTPONED AND WILL BE RESCHEDULED. **

MIKE PRITCHARD (UC-Irvine)
“Adventures in Hybrid Physics: Machine Learning for Multi-scale Climate Modeling, AI-assisted Climate Model Inter-comparison, and … NVIDIA”

SOARS, An Example of Research, Mentoring, and Community

Thursday || November 3, 2022 || 11:00am

KADIDIA THIERO (SOARS Principal Investigator / Program Lead)

Fall Lecture in Climate Data Science

Thursday || October 20, 2022 || 3:00pm

ELIZABETH BARNES (Colorado State Univ.)
“Explainable AI for Climate Science: Detection, Prediction, and Discovery”

YouTube link

LEAP ML Climate Journal Club

Thursday || October 13, 2022 || 12:00-1:00pm

GRIFFIN MOOERS (UC Irvine)
“Comparing Storm Resolving Models and Climates via Unsupervised Machine Learning”

YouTube link

Fall Lecture in Climate Data Science

Thursday || October 6, 2022 || 3:00pm

VIPIN KUMAR (Univ. of Minnesota)
“Inverse Modeling via Knowledge-Guided Self-Supervised Learning: An Application in Hydrology”

YouTube link

Fall Lecture in Climate Data Science

Thursday || September 22, 2022 || 3:00pm

LAURE ZANNA (NYU)
“Machine Learning for Ocean and Climate Modeling: Advances, Challenges, and Outlook”

YouTube link

LEAP ML Climate Journal Club

Monday || September 19, 2022 || 12:00-1:00pm

ALBAN FARCHI (CEREA)
“Using Machine Learning to Correct Model Error in Data Assimilation and Forecast Applications”

Fall Lecture in Climate Data Science

Thursday || September 8, 2022 || 3:00pm

DAVID ROLNICK (McGill Univ.)
“Machine Learning in Climate Change Mitigation and Adaptation”

YouTube link

Summer 2022

LEAP ML Climate Journal Club

Monday || August 22, 2022 || 12:00-1:00pm

LEAP ML Climate Journal Club

Monday || August 8, 2022 || 12:00-1:00pm

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