Past Events
Summer 2023
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 (UCSD)
“Mapping Meteorological Conditions to Predator Prey Dynamics”
Spring 2023
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”
Spring Lecture in Climate Data Science
Thursday || May 25, 2023 || 3:30pm
STEPHAN MANDT (UC Irvine)
“From Compression to Convection: a Latent Variable Perspective”
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”
Spring Lecture in Climate Data Science
Thursday || May 4, 2023 || 3:30pm
ADJI BOUSSO DIENG (Princeton)
“Measuring and Enforcing Diversity in Machine Learning”
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”
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”
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”
LEAP ML Climate Journal Club
Thursday || April 6, 2023 || 12:00-1:00pm
PRAKHAR SRIVASTAVA (UC Irvine)
“Denoising Diffusion Probabilistic Models”
Spring Lecture in Climate Data Science
Thursday || March 30, 2023 || 3:30pm
ROSE YU (UC San Diego)
“Physics-Guided Deep Learning for Climate Dynamics”
LEAP ML Climate Journal Club
Thursday || March 9, 2023 || 12:00-1:00pm
SAM SILVA (USC)
“Emulating Cloud Droplets in a Climate Model”
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 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
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 || 12:00pm
JOSEPH BAKARJI (Univ. of 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 || 12:00pm
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
