We at LLNL are excited to be part of the dynamic data science community, and we look forward to meeting new colleagues and learning from each other at these events.
Upcoming Events
International Conference on Next-Generation AI & Machine Learning
November 3-5, 2025
San Francisco, CA
Presentation: Integrated LLM-based Job Manager Agent for Design Optimization | M. Giselle Fernández-Godino
November 5, 4:30-6:30 PM
Dublin, CA
Presentation: AI at Scale: Deployment, Challenges, and Governance | Caspar Donnison
IEEE x Leonis Capital AI Safety Mixer
November 6, 5:30-8:00 PM
San Francisco, CA
Presentation: AI Safety at Scale | Brian Bartoldson
November 16-21, 2025
St. Louis, MO
View all 80 workshops, panels, presentation and papers here.
December 2-7, 2025
San Diego, CA
View all 22 Workshops and posters here.
Past Events - 2025
October 15-16, 2025
Washington, DC
Demo: Advancing Material Discovery with LLNL/OpenAI Partnership | Bhavya Kailkhura and Tal Ben Nun
Special Competitive Studies Project AI + Fusion Summit
October 14, 2025
Washington, D.C.
Invited Speakers: Brian Spears, Kim Budil
September 22–26, 2025
Ljubljana, Slovenia
Invited Talk: Deep Symbolic Optimization | Mikel Landajuela
AI & Tech for Government: Innovation in Action
September 9, 2025
San Diego, CA
Presentation: Making an AI Powered Government | Brian Spears
August 18–21, 2025
Monterey, CA
Presentation: From Data to Discovery: Building Reliable Foundation Models for Science | Bhavya Kailkhura
ModSim ’25 - Workshop on Modeling & Simulation of Systems and Applications
August 13–15, 2025
Seattle, WA
Presentation: A National Security AI Platform: driving accelerated science with AI | Timo Bremer
7th Annual 2025 Technology & Policy Summit
July 10–11, 2025
Napa, CA
Panelist: The Value of Open Source AI in Driving Innovation and Growth in California | Brian Giera
Panelist: Carbon Removal: The Next Frontier of Climate Tech in California | Jennifer Pett-Ridge
3rd World Congress on Artificial Intelligence in Materials and Manufacturing (AIM 2025)
June 15–19, 2025
Anaheim, CA
Committee: Youngsoo Choi
ISC High Performance Conference
June 10-13, 2025
Hamburg, Germany
Invited Talks: The Synergy of ML and Graph Algorithms | Brian Van Essen; Achieving High Performance in ML Applications | Olga Pearce
Workshop: The First International Workshop on Foundational Large Language Models Advances for HPC | Harshitha Menon, Konstantinos Parasyris
Birds of a Feather Series: Two Worlds Collide: Trustworthiness and Sustainability for Coupled HPC and AI Simulation | J. Austin Ellis; Democratizing AI Accelerators for HPC Applications: Challenges, Success, and Support | Tal Ben-Nun, Brian Van Essen
Research Paper: ML for HPC | Nikoli Dryden
AI+ Expo with the Special Competitive Studies Project (SCSP)
June 2-4, 2025
Washington, D.C.
NVIDIA GPU Technology Conference (GTC) 2025
March 17-21, 2025
San Jose, California
Technical Sessions: Making Physical AI a Reality Through Real-Time Edge Computing | Derek Mariscal; The Instrumental Edge: Enabling Real-Time AI Scientific Discovery | Abhik Sarkar
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2025
February 28-March 4, 2025
Tuscon, Arizona
Poster Presentation: Swap Path Network for Robust Person Search Pre-Training | Luke Jaffe
Conference on Neural Information Processing Systems (NeurIPS)
December 9-15, 2024
Vancouver, BC, Canada
Workshop: ML and the Physical Sciences
Papers: GTBench: Uncovering the Strategic Reasoning Limitations of LLMs via Game-Theoretic Evaluations; On the Use of Anchoring for Training Vision Models; Transformers Can Do Arithmetic with the Right Embeddings; Scalable Physics-Guided Data-Driven Component Model Reduction for Steady Navier-Stokes Flow
SC24: HPC Creates
November 17–22, 2024
Atlanta, GA
Conference on Empirical Methods in Natural Language Processing
November 12–16, 2024
Miami, FL
Paper: SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning
DOE Data Days (D3)
October 22–24, 2024
Livermore, CA
European Conference on Computer Vision (ECCV)
September 29–October 4, 2024
Milan, Italy
Paper: Leveraging Hierarchical Feature Sharing for Efficient Dataset Condensation
Monterey Data Conference
August 19–22, 2024
Monterey, CA
SPIE Optics + Photonics, Applications of Machine Learning Conference
August 18–22, 2024
San Diego, CA
Planning committee: Mike Zelinski, Cindy Gonzales
International Joint Conference on Artificial Intelligence (IJCAI)
August 3–5, 2024
Jeju Island, South Korea
AI for Critical Infrastructure Workshop: Felipe Leno da Silva, Ruben Glatt
International Conference on Machine Learning (ICML)
July 21–27, 2024
Vienna, Austria
Papers: Adversarial Robustness Limits via Scaling-Law and Human-Alignment Studies; Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression; TrustLLM: Trustworthiness in Large Language Models; PAGER: Accurate Failure Characterization in Deep Regression Models
Conference on Machine Learning and Systems (MLSys)
May 13–16, 2024
Santa Clara, CA
Paper: Q-Hitter: a better token oracle for efficient LLM inference via sparse-quantized KV cache
International Conference on Learning Representations (ICRL)
May 7–11, 2024
Vienna, Austria
Papers: DeepZero: scaling up zeroth-order optimization for deep model training; NEFTune: noisy embeddings improve instruction finetuning; Scaling compute is not all you need for adversarial robustness; Accurate and scalable estimation of epistemic uncertainty for graph neural networks
Women in Data Science (WiDS) Datathon & Livermore Conference
February 28 & March 13, 2024
Livermore, CA
Host: LLNL
SIAM Conference on Uncertainty Quantification (UQ24)
February 27 – March 1, 2024
Trieste, Italy
Sessions: Uncertainty Quantification, Robustness, and Trustworthiness in Foundation Models for Scientific Research and Beyond, Parts I and II; Why One Single Surrogate Model Cannot Be Used for All Applications
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
January 4–8, 2024
Waikoloa, HI
Poster: On the Fly Neural Style Smoothing for Risk-Averse Domain Generalization
37th Conference on Neural Information Processing Systems (NeurIPS 2023)
December 10–16, 2023
New Orleans, LA
Paper: Neural Image Compression: Generalization, Robustness, and Spectral Biases
Department of Energy's Annual Data Days (D3)
October 24–26, 2023
Livermore, CA
Host: LLNL
International Conference on Computer Vision (ICCV)
October 2–6, 2023
Paris, France
Paper: DOLCE: A Model-Based Probabilistic Diffusion Framework for Limited-Angle CT Reconstruction
29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
August 6–10, 2023
Long Beach, CA
Paper: Graph Learning in Physical-Informed Mesh-Reduced Space for Real-World Dynamic Systems
Joint Statistical Meetings (JSM2023)
August 5–10, 2023
Toronto, Ontario, Canada
Paper: Enforcing hierarchical label structure for multiple object detection in remote sensing imagery
Center for Advanced Signal and Image Sciences (CASIS) 27th Annual Workshop
August 2–3, 2023
Livermore, CA
Host: LLNL
International Conference on Machine Learning (ICML)
July 23–29, 2023
Honolulu, HI
Papers: Compute-Efficient Deep Learning: Algorithmic Trends and Opportunities; Target-Aware Generative Augmentations for Single-Shot Adaptation
Medical Imaging with Deep Learning (MIDL)
July 10–12, 2023
Nashville, TN
Paper: Know Your Space: Inlier and Outlier Construction for Calibrating Medical OOD Detectors
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
June 18–22, 2023
Vancouver, BC, Canada
Paper: Cross-GAN Auditing: Unsupervised Identification of Attribute Level Similarities and Differences between Pretrained Generative Models
International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
June 4–10, 2023
Rhodes Island, Greece
Papers: On the Efficacy of Generalization Error Prediction Scoring Functions; Robust Time Series Recovery and Classification Using Test-Time Noise Simulator Networks
International Conference on Autonomous Agents and Multiagent Systems (AAMAS)
May 29 – June 2, 2023
London, UK
Paper: Multi-Agent Reinforcement Learning for Adaptive Mesh Refinement
International Conference on Learning Representations (ICLR)
May 1–5, 2023
Kigali, Rwanda
Paper: A Closer Look at Model Adaptation using Feature Distortion and Simplicity Bias
International Conference on Artificial Intelligence and Statistics (AISTATS)
April 25–27, 2023
Palau de Congressos, Valencia, Spain
Paper: Reinforcement Learning for Adaptive Mesh Refinement
4th International Conference on Data-Driven Plasma Science (ICDDPS-4)
April 16–21, 2023
Okinawa, Japan
Plenary speaker: Ana Kupresanin, DSI Council member
AAAI Spring Symposium on Computational Approaches to Scientific Discovery
March 27–29, 2023
Hyatt Regency, San Francisco Airport, CA
Co-organized by LLNL
Women in Data Science (WiDS) Livermore
March 8, 2023
Livermore, CA & virtual
Sponsored by the DSI & LLNL's Office of Strategic Diversity and Inclusion Programs
Computing Winter Hackathon & WiDS Datathon
February 2–3, 2023
Livermore, CA & virtual
Sponsored by the DSI
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
January 3–7, 2023
Waikoloa, Hawaii
Papers: Improving Diversity with Adversarially Learned Transformations for Domain Generalization; Contrastive Knowledge-Augmented Meta-Learning for Few-Shot Classification
14th Asian Conference on Machine Learning (ACML)
December 12–14, 2022
Hyderabad, India & virtual
Papers: Domain Alignment Meets Fully Test-Time Adaptation; OOD Detection using Neural Network Anchoring
36th Conference on Neural Information Processing Systems (NeurIPS)
November 28 – December 9, 2022
New Orleans & virtual
Multiple papers, a poster, and a workshop
Asilomar Conference on Signals, Systems, and Computers
October 30 – November 2, 2022
Pacific Grove, CA
Paper: Bayesian Multiagent Active Sensing and Localization via Decentralized Posterior Sampling
Advanced Maui Optical and Space Surveillance Technologies Conference (AMOS)
September 27–30, 2022
Hawaii & virtual
39th International Conference on Machine Learning (ICML)
July 17–23, 2022
Baltimore, MD
Data Science Challenge with UC Riverside
June 20 – July 1, 2022
Hosted by the DSI
DOE Data Days (D3) (Hybrid)
June 1–3, 2022
Hosted by LLNL
Data Science Challenge with UC Merced
May 23 – June 6, 2022
Hosted by the DSI
Adaptive and Learning Agents Workshop (ALA)
May 9–10, 2022
Paper: Leveraging language models to efficiently learn symbolic optimization solutions
International Conference on Learning Representations (ICLR) (Virtual)
April 25–29, 2022
2 papers accepted
SIAM Conference on Uncertainty Quantification (UQ22)
April 12–15, 2022
Presenter: Brendan Keith
15th IEEE Pacific Visualization Symposium (PacificVis)
April 11–14, 2022
Best Paper: AMM: Adaptive Multilinear Meshes
Women in Data Science (WiDS) (Virtual)
March 7, 2022
WiDS ambassadors: Marisa Torres, Cindy Gonzales
LLNL Computing Winter Hackathon (Virtual)
February 16–17, 2021
Sponsor: DSI
35th Conference on Neural Information Processing Systems (NeurIPS)
December 6–14, 2021
Five papers accepted
Supercomputing 21 (SC21)
November 14–19, 2021
2021 International Conference on Computer Vision (ICCV)
October 11–17, 2021
Papers accepted: Dynamic CT Reconstruction from Limited Views with Implicit Neural Representations and Parametric Motion Fields; Can Shape Structure Features Improve Model Robustness Under Diverse Adversarial Settings?
UCSD Data Science Talent Day
October 14, 2021
Virtual employer booth
Data Science Challenge with UC Riverside
August 30 – September 17, 2021
LLNL mentors: Brian Gallagher, Michael Schneider, Ryan Dana
The 38th International Conference on Machine Learning (ICML)
July 18–24, 2021
Paper accepted: Discovering symbolic policies with deep reinforcement learning
Machine Learning for Industry Forum (ML4I)
August 10–12, 2021
Co-sponsor: DSI
2021 Japan-America Frontiers of Engineering (JAFOE) Symposium
June 23–25, 2021
LLNL representative: Ana Kupresanin
Computer Vision and Pattern Recognition Expo 2021 (CVPR)
June 19–25, 2021
- Paper acceptance: How robust are randomized smoothing based defenses to data poisoning?
- Paper acceptance: Scalability vs. utility: do we have to sacrifice one for the other in data importance quantification?
9th International Conference on Learning Representations (ICLR) (Virtual)
May 4–8, 2021
- Oral paper acceptance: Deep symbolic regression: Recovering mathematical expressions from data via risk-seeking policy gradients
- Poster presentation acceptance: Multi-prize lottery ticket hypothesis: finding accurate binary neural networks by pruning a randomly weighted network
DSI Workshop: Actionable AI for Healthcare (Virtual)
March 11, 18, and 25, 2021
Women in Data Science (WiDS) (Virtual)
March 8, 2021
WiDS ambassador: Marisa Torres
SPIE Medical Imaging Conference (Digital)
February 15–19, 2021
Best Paper, Computer-Aided Diagnosis: Self-Training with Improved Regularization for Sample-Efficient Chest X-Ray Classification
LLNL Computing Winter Hackathon (Virtual)
February 11–12, 2021
Sponsor: DSI
35th AAAI Conference on Artificial Intelligence
February 2–9, 2021
IEEE Winter Conference on Applications of Computer Vision (WACV)
January 5–9, 2021
Award for LLNL paper "Generative Patch Priors for Practical Compressive Image Recovery"
34th Conference on Neural Information Processing Systems (NeurIPS)
December 6–11, 2020
Two LLNL papers accepted
Supercomputing Conference (SC20)
November 9–19, 2020
See event calendar for full lineup of LLNL's virtual workshops, tutorials, papers, posters, and more
DOE Data Day (D3)
October 5–7, 2020
Virtual Workshop
LLNL Computing Virtual Expo
September 30, 2020
DSI activities: Informational booth & lightning talk by Michael Goldman, DSI director
2020 Department of Defense Artificial Intelligence Symposium and Exposition
September 9-10, 2020
DSI activities: Informational booth
26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
August 23–27, 2020
Virtual Conference
DSI/LLNL sponsorship: Health Day (check out our video!)
Women in Data Science (WiDS)
March 2, 2020
Livermore, CA
Organizers/WiDS ambassadors: Marisa Torres, Masha Aseeva
AAAI 2020
February 7–12, 2020
New York, NY
LLNL Computing Winter Hackathon
January 30–31, 2020
Livermore, CA, USA
Sponsor: DSI
NeurIPS 2019
December 8–14, 2019
Vancouver, Canada
Supercomputing 2019 (SC19)
November 17–22, 2019
Denver, CO, USA
INFORMS Annual Meeting
October 20–23, 2019
Seattle, WA, USA
Women in Statistics and Data Science 2019 (WSDS)
October 3–5, 2019
Bellevue, WA, USA
SPIE: Applications of Machine Learning
August 11–15, 2019
San Diego, CA, USA
Conference chair: Michael Zelinski
Conference co-chair: Abdul Awwal
Program committee: Ghaleb Abdulla, James Henrikson, T. Nathan Mundhenk
25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
August 4–8, 2019
Anchorage, AK, USA
Women's lunch (DSI co-sponsor): Alyson Fox, Amanda Minnich
Joint Statistical Meetings (JSM)
July 27 – August 1, 2019
Denver, CO, USA
Data Science Institute Workshop (DSI)
July 23–24, 2019
Livermore, CA, USA
Co-hosts: LLNL & UC
Director: Michael Goldman
Presenters: See the agenda.
Deep Learning for Science School
July 15–19, 2019
Berkeley, CA, USA
Instructor: Brenda Ng, "Introduction to ML"
Computer Vision and Pattern Recognition Expo (CVPR)
June 16–21, 2019
Long Beach, CA, USA
International Conference on Machine Learning (ICML)
June 10–25, 2019
Long Beach, CA, USA
UC Merced Data Challenge
May 20–31, 2019
Livermore, CA, USA
Leaders: Goran Konjevod, Marisol Gamboa
Dataworks Summit
May 20–23, 2019
Washington, DC, USA
Attendee: Kassie Fronczyk
Game Developers Conference (GDC)
March 18–22, 2019
San Francisco, CA, USA
Attendees: Tony Barbagallo, Rob Blake, Mike Goldman, Brenden Petersen
NVIDIA GPU Technology Conference (GTC)
March 18–21, 2019
San Jose, CA, USA
Presenter: Amanda Minnich
Women in Data Science (WiDS)
March 4, 2019
Palo Alto, CA, USA
WiDS Stanford speaker: Laura Kegelmeyer
WiDS Livermore ambassador: Marisa Torres
33rd AAAI Conference on Artificial Intelligence
January 27 – February 1, 2019
Honolulu, Hawaii, USA
Bay Area Scientific Computing Day (BASCD)
December 7, 2018
Livermore, CA, USA
Presenters: Jayaraman Thiagarajan, Gemma Anderson
32nd Conference on Neural Information Processing Systems (NIPS)
December 2–8, 2018
Montreal, Québec, Canada
Workshop presenters: Joe Morris, Sookyung Kim
Paper: Bhavya Kailkhura
Supercomputing 2018 (SC18)
November 11–16, 2018
Dallas, TX, USA
Nearly 100 LLNL attendees!
Keynote (Deep Learning Session): Brian Van Essen
Birds of a Feather: Naoya Maruyama, Brian Van Essen
Workshop: Naoya Maruyama, Tim Moon, Tom Benson, Brian Van Essen, Andy Yoo
DOE Booth #2433 Talk: Frederick Streitz
Women in Statistics and Data Science 2018 (WSDS)
October 18–20, 2018
Cincinnati, OH, USA
Gold sponsor: LLNL
Presenter: Kassie Fronczyk
Attendee: Christine Klymko
24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)
August 19–23, 2018
London, UK
Presenter: Jose Pico Cadena (Health Day)
Attendee: Daniel Faissol
1st Data Science Institute Workshop (DSI)
August 7–8, 2018
Livermore, CA, USA
Co-hosts: LLNL & UC
Director: Michael Goldman
Presenters: Too many to list here! See the agenda.
American Statistical Association’s Joint Statistical Meetings (JSM)
July 28 – August 2, 2018
Vancouver, BC, Canada
Presenters: Jason Bernstein, Kassie Fronczyk, Ana Kupresanin, Kathleen Schmidt
35th International Conference on Machine Learning (ICML)
July 10–15, 2018
Stockholm, Sweden
Presenters: Daniel Faissol, Brenden Petersen (machine learning for biological applications)
Attendees: Brian Van Essen
Computer Vision and Pattern Recognition Expo 2018 (CVPR)
June 18–22, 2018
Salt Lake City, UT, USA
Presenters: Hyojin Kim, Kadri Mohan (image reconstruction), T. Nathan Mundhenk, Jayaraman Thiagarajan (image reconstruction)
Attendees: Rushil Anirudh, Kelly Crawford, Frank Trigueros
Recruiters: Alan Kaplan, Dave Widemann (booth 702)
