Past Events

Spring 2024

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Spring Lecture in Climate Data Science

Thursday || May 9, 2024 || 12:00pm

RESEARCH UPDATES
YONGQUAN QU (Columbia): “Joint Parameter and Parameterization Inference with Uncertainty Quantification through Differentiable Programming”
JIARONG WU (NYU): “Data-driven probabilistic air-sea flux model using in-situ direct measurements”

ILopezGomez

Spring Lecture in Climate Data Science

Thursday || April 25, 2024 || 3:00pm

IGNACIO LOPEZ-GOMEZ (Google)
“Generative Emulation of Weather Forecast Ensembles with Diffusion Models” 

YouTube link

CSmall

Spring Lecture in Climate Data Science

Thursday || April 25, 2024 || 12:00pm

CHAD SMALL (Univ. of Washington)
“Madden-Julian Oscillation and Atmospheric Rivers: Toward a New Paradigm for S2S Forecast of High-Impact Weather Extremes” 

YouTube link

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Spring Lecture in Climate Data Science

Thursday || April 11, 2024 || 12:00pm

RESEARCH UPDATES
AYA LAHLOU (Columbia): “Modeling phenology under climate change using deep learning” 
DION HO (Columbia): “Data science and physical modeling of energy flows in the atmosphere”

Gettelman

Spring Lecture in Climate Data Science

Tuesday || March 26, 2024 || 2:00pm

ANDREW GETTELMAN (PNNL)
“‘Machine’ Learning Cloud Physics: Where Do We Stand?” 

YouTube link

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Spring Lecture in Climate Data Science

Thursday || March 14, 2024 || 12:00pm

RESEARCH UPDATES
FLORENCIO PORTOCARRERO (Columbia Business School): “Communication Frames and Actors’ Responses to Sustainability- and Climate-related Information”  YouTube link
JAEYOUNG JUNG (Columbia): “A Multiscale Framework for Airflow-Canopy Interaction” YouTube link

OSturm

LEAP ML Climate Journal Club

Thursday || March 7, 2024 || 12:pm

OBIN STURM (USC)
“Conservation Laws in a Neural Network Architecture: A Flux-based Framework for Physically Consistent Hard Constraints in Machine Learning Models”

YouTube link

Ryan Abernathey

Spring Lecture in Climate Data Science

Thursday || February 29, 2024 || 12:00pm

RYAN ABERNATHY (Columbia)
“The Future of Earth-System Data Infrastructure”  

YouTube link

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Spring Lecture in Climate Data Science

Thursday || February 15, 2024 || 12:00pm

RESEARCH UPDATES
SUNGDUK YU (UC Irvine): “ClimSim2: Coupling Global Climate Models with Neural Network Cloud Emulators”  YouTube link
QINGYUAN YANG (Columbia): “Flexible Use of Additive Gaussian Processes as a Powerful Tool for More Interpretable Analysis and Emulation of Climate Model PPEs” YouTube link

Carl Vondrick

Spring Lecture in Climate Data Science

Thursday || February 1, 2024 || 12:00pm

CARL VONDRICK (Columbia)
“Multimodal Learning from Pixels to People”  

YouTube link

LEAP ML Climate Journal Club

Friday || January 26, 2024 || 11:00am

SYLWESTER ARABAS (Univ. of Krakow)
“PyPartMC Aerosol Dynamics Package: Engineering Python-to-Fortran Bindings in C++ for Use in Julia and Matlab”

YouTube link

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Spring Lecture in Climate Data Science

Thursday || January 18, 2024 || 12:00pm

RESEARCH UPDATES
MOHAMMED AZIZ BHOURI (Columbia): “Multi-fidelity climate model parameterization for extrapolation beyond training data”  YouTube link
KAITLYN LOFTUS (Columbia): “Parameterizing cloud microphysics with machine learning-enabled Bayesian parameter influence” YouTube link

IMG_4373

2024 Winter Momentum Bootcamp

Wednesday || January 10, 2024 – Thursday || January 11, 2024

Details

Fall 2023

MClare

Fall Lecture in Climate Data Science

Thursday || November 16, 2023 || 3:30pm

MARIANA CLARE (ECMWF)
“The Rise of Machine Learning in Weather Forecasting”

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Fall Lecture in Climate Data Science

Thursday || November 16, 2023 || 3:30pm

RESEARCH UPDATES
CANDACE AGONAFIR (Columbia): “Recent Advances in Urban Flooding Research”  
CHRISTINA TORRES / NOA URBACH (Teachers College): “New York City Educators’ Perceptions of Students’ Engagement with Climate Change”

LEAP ML Climate Journal Club

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

BLANK BALOGH (Météo France / Columbia)
“Calibrating a Dynamical System with Neural Network Based Physics”

Aditya Grover

Fall Lecture in Climate Data Science

Thursday || November 2, 2023 || 3:30pm

ADITYA GROVER (UCLA)
“ClimaX: A Foundation Model for Weather and Climate”

YouTube link

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

News Logo

LEAP Year 3 Annual Meeting

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

Details

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

LEAP ML Journal Club
Thursday || August 31, 2023 || 3:30pm
KARAN JAKHAR (Rice): “Learning Closed-form Equations for Subgrid-scale Closures from High-fidelity Data: Promises and Challenges”

 

LEAP ML Journal Club
Thursday || August 17, 2023 || 3:30pm
TAKUYA KURIHANA (Univ. of Chicago): “Self-supervised Learning-based Applications Toward Democratization of Multi-decades of MODIS Cloud Images”

 

2023 REU Research Presentations + Closing Reception
Thursday || July 27, 2023 || 1:00pm
2023 SUMMER REU PRESENTATIONS
Samarth Agrawal: “Capturing Convective Atmospheric Profiles Using Variational Encoder-Decoders”
Thomas Chen: “Visualizing Interpretability for Precipitation Prediction Using Shapley Additive Explanations”
Mark Irby-Gill: “Evaluating XGBoost as a Baseline Model for Spatially-Informed Precipitation Predictions”
Rebecca Porter: “Exploring Data-driven Equation Discovery to Model Moisture Flux”
Amanda Sun: “Improving Subgrid-Parameterization with Causal Discovery”
Subashree Venkatasubramanian: “A Bayesian-Gamma Deep Learning Approach to Capture Heavy-Tailed Behavior in the ClimSim Dataset”

2023 Summer Institute: Integrating Climate Education in NYC Public Schools
Monday – Thursday || July 17-20, 2023


 

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 

 

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

Special Presentation
Thursday || June 15, 2023 || 1:00pm
REBECCA GJINI (UC San Diego): “Mapping Meteorological Conditions to Predator Prey Dynamics”

LEAP ML Journal Club
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”
YouTube link

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”
YouTube link

Spring Lecture in Climate Data Science
Thursday || May 4, 2023 || 3:30pm
ADJI BOUSSO DIENG (Princeton): “Measuring and Enforcing Diversity in Machine Learning”
YouTube link


David LawrenceSpring 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 || 12:00pm

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”
YouTube link

LEAP ML Climate Journal Club
Thursday || April 6, 2023 || 12:00pm
PRAKHAR SRIVASTAVA (UC Irvine): “Denoising Diffusion Probabilistic Models”
YouTube link

Spring Lecture in Climate Data Science
Thursday || March 30, 2023 || 3:30pm
ROSE YU (UC San Diego): “Physics-Guided Deep Learning for Climate Dynamics”
YouTube link


LEAP ML Climate Journal Club
Thursday || March 9, 2023 || 12:00pm
SAM SILVA (USC): “Emulating Cloud Droplets in a Climate Model”
YouTube link

Spring Lecture in Climate Data Science
Thursday || March 2, 2023 || 3:00pm
HOD LIPSON (Columbia): “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 Univ., 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 || 12:00pm
KEVIN XIA (Columbia): “The Causal-Neural Connection: Expressiveness, Learnability, and Inference”
YouTube link

Pierre Gentine headshotSpring 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 || 12:00pm
AURÉLIEN RIBES (CNRM / Météo-France): “An Adaptation of Kalman Filtering for Climate Change”
YouTube link

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 || 12:00pm
BLANKA BALOGH (CNRM, Université de Toulouse Météo-France): “How to Calibrate a Dynamical System with Neural Network Based Physics”
YouTube link

2023 Winter Momentum Bootcamp
Thursday || January 5, 2023 – Friday || January 6, 2023
Day 1
Day

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”
YouTube link

 

pierre gentineCAIT 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 || 12:00pm
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”
YouTube link

 

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”
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 + 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”
YouTube link

  • 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