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”
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”
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”
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”
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”
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”
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”
LEAP ML Climate Journal Club
Thursday || December 8, 2022 || 12:00-1:00pm
SARA SHAMEKH (Columbia)
“Implicit Learning of Convective Organization Explains Precipitation Stochasticity”
CAIT Distinguished Lecture
Wednesday || December 7, 2022 || 12:00pm
PIERRE GENTINE (Columbia)
“Physics to Machine Learning and Machine Learning Back to Physics”
Fall Lecture in Climate Data Science
Thursday || November 17, 2022 || 3:00pm
PEDRAM HASSANZADEH (Rice)
“Learning Data-driven Subgrid-scale Models for Geophysical Turbulence”
LEAP ML Climate Journal Club
Thursday || November 10, 2022 || 12:00-1:00pm
JOSEPH BAKARJI (U.Washington)
“Dimensionally Consistent Learning With Buckingham Pi”
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”
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”
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”
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”
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”
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
