Past Events

Fall 2023

LEAP ML Climate Journal Club

Thursday || October 26, 2023 || 3:30-4:30pm

PAULA HARDER (Fraunhofer ITWM)
“Physics-Constrained Deep Learning for Downscaling and Emulation”

YouTube link

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LEAP Year 3 Annual Meeting

Sunday || October 15, 2023 – Tuesday || October 17, 2023

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LEAP ML Climate Journal Club

Thursday || October 12, 2023 || 3:30-4:30pm

EMILIANO DÍAZ (Univ. of Valencia)
“Identifying the Causes of Pyrocumulonimbus (PyroCb)”

 

Jian Pei

Fall Lecture in Climate Data Science

Thursday || October 5, 2023 || 3:30pm

JIAN PEI (Duke)
“Data Valuation in Federated Learning” 

YouTube link

LEAP ML Climate Journal Club

Thursday || September 28, 2023 || 3:30-4:30pm

LILY-BELLE SWEET (UFZ)
“Cross-validation Strategy Impacts the Performance and Interpretation of Machine Learning Models”

YouTube link

PMA - Po-Lun Ma

Fall Lecture in Climate Data Science

Thursday || September 21, 2023 || 3:30pm

PO-LUN MA (PNNL)
“Improving Aerosol in an Earth System Model With AI / ML” 

YouTube link

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Fall Lecture in Climate Data Science

Thursday || September 7, 2023 || 3:30pm

RESEARCH UPDATES
LINNIA HAWKINS (NCAR / Columbia): “Community Land Model Parameter Estimation”  YouTube link
JOSEPH KO (Columbia): “3D Reconstruction + Unsupervised Clustering of Ice Crystal Particles to Inform Depositional Growth Parameterizations” YouTube link

Summer 2023

LEAP ML Climate Journal Club

Thursday || August 31, 2023 || 3:30-4:30pm

KARAN JAKHAR (Rice)
“Learning Closed-form Equations for Subgrid-Scale Closures from High-fidelity Data: Promises and Challenges”

LEAP ML Climate Journal Club

Thursday || August 17, 2023 || 3:30-4:30pm

TAKUYA KURIHANA (Univ. of Chicago)
“Self-supervised Learning-based Applications Toward Democratization of Multi-decades of MODIS Cloud Images”

2023 Summer Institute: Integrating Climate Education in NYC Public Schools

Monday – Thursday || July 17-20, 2023

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2023 Summer Momentum Fellowship

June 5 – August 11 2023 

2023 SUMMER MOMENTUM FELLOWS: Matthew Beveridge, Mohammad Erfani, Yu Huang

2023 SUMMER MOMENTUM FELLOWSHIP FACULTY: Dhruv Balwada, Kara Lamb, Pierre Gentine, Carl Vondrick

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2023 Summer REU Program

June 5 – July 29, 2023 

2023 SUMMER REU COHORT: Samarth Agrawal, Thomas Chen, Mark Irby-Gill, Rebecca Porter, Amanda Sun, Subashree Venkatasubramanian

MOMENTUM BOOTCAMP INSTRUCTORS: Candace Agonafir, Yu Huang, Tian Zheng

IN-PERSON RESEARCH MENTORS: Pierre Gentine, Stephan Mandt, Mike Pritchard

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Special Presentation

Thursday || June 15, 2023 || 1:00pm

REBECCA GJINI (UCSD)
“Mapping Meteorological Conditions to Predator Prey Dynamics”

Spring 2023

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Spring Lecture in Climate Data Science

Thursday || May 25, 2023 || 12:00pm

ROMANA BOIGER + ROB MODINI (PSI)
“Retrieval of Aerosol Properties From in-situ, Multi-angle Light Scattering Measurements Using Invertible Neural Networks”

YouTube link

Spring Lecture in Climate Data Science

Thursday || May 25, 2023 || 3:30pm

STEPHAN MANDT (UC Irvine)
“From Compression to Convection: a Latent Variable Perspective”

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Spring Lecture in Climate Data Science

Thursday || May 18, 2023 || 3:30pm

MIKE PRITCHARD (UC Irvine / NVIDIA)
“Adventures in Physics / AI Climate Modeling and Full AI Weather Prediction”

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Spring Lecture in Climate Data Science

Thursday || May 4, 2023 || 3:30pm

ADJI BOUSSO DIENG (Princeton)
“Measuring and Enforcing Diversity in Machine Learning”

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David Lawrence

Spring Lecture in Climate Data Science

Thursday || April 27, 2023 || 3:30pm

DAVE LAWRENCE (NCAR)
“Parameter Estimation for Improved Capacity of the Community Land Model for Actionable Science”

YouTube link

LEAP ML Climate Journal Club

Thursday || April 20, 2023 || 12:00-1:00pm

PETER JAN VAN LEEUWEN (Colorado State)
“Uncertainty Quantification in ML and Connections With Data Assimilation”

YouTube link

Spring Lecture in Climate Data Science

Thursday || April 13, 2023 || 3:30pm

CHRIS BRETHERTON (Allen Institute for AI)
“Corrective Machine Learning for Interpretable Improvement of Climate Models”

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LEAP ML Climate Journal Club

Thursday || April 6, 2023 || 12:00-1:00pm

PRAKHAR SRIVASTAVA (UC Irvine)
“Denoising Diffusion Probabilistic Models”

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Spring Lecture in Climate Data Science

Thursday || March 30, 2023 || 3:30pm

ROSE YU (UC San Diego)
“Physics-Guided Deep Learning for Climate Dynamics”

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LEAP ML Climate Journal Club

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

SAM SILVA (USC)
“Emulating Cloud Droplets in a Climate Model”

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Spring Lecture in Climate Data Science

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

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

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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”

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2023 Train-the-Trainer Bootcamp

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

Day 1
Day 2

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 || 12:00pm
SARA SHAMEKH (Columbia): “Implicit Learning of Convective Organization Explains Precipitation Stochasticity”
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pierre gentineCAIT Distinguished Lecture
Wednesday || December 7, 2022 || 12:00pm
PIERRE GENTINE (Columbia): “Physics to Machine Learning and Machine Learning Back to Physics”
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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 || 12:00pm
JOSEPH BAKARJI (Univ. of Washington): “Dimensionally Consistent Learning with Buckingham Pi”
YouTube link

 

Michael PritchardFall 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”
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LEAP ML Climate Journal Club
Thursday || October 13, 2022 || 12:00pm
GRIFFIN MOOERS (UC Irvine): “Comparing Storm Resolving Models and Climates via Unsupervised Machine Learning”
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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 + Climate Modeling: Advances, Challenges, and Outlook”
YouTube link

 

LEAP ML Climate Journal Club
Monday || September 19, 2022 || 12:00pm
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”
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  • LEAP ML Climate Journal Club
    Monday || August 22, 2022 || 12:00-1:00pm 
  • LEAP ML Climate Journal Club
    Monday || August 8, 2022 || 12:00-1:00 pm