2026 MLDL Schedule

Day 1: Monday August 3, 2026

Dial in by Phone: +1 505-373-1510,,542115879# United States, Albuquerque Phone conference ID: 542 115 879#
Dial in by phone +1 505-373-1510,,717665300# United States, Albuquerque Phone conference ID: 717 665 300#
Title Speaker Time Duration Notes
DAY 1 - (Main Topics: Infrastructure, Theory and Probabilistic ML)
Welcome/Opening Remarks Sarah Ackerman 8:50am (MST) 10 min.
Keynote: Safe Autonomy Through Agentic Data Environments Eugene Wu 9:00am (MST) Presentation: 50 min. Q&A: 10 min. Columbia University
Federated LLM Training Across NNSA Labs Max Carlson 10:00am (MST) Presentation: 15 min. Q&A: 5 min. Infrastructure; Reinforcement learning (Sandia)
Augmenting VR with Governed Agents Jackson Stephens 10:20am (MST) Presentation: 30 min. Q&A: 5 min. Applications; Infrastructure; Generative AI (Sandia)
AM Break - (10:55 AM - 11:05 AM) 10 minutes
Digital Provenance for Machine Learning Reproducibility and Trustworthiness Samuel Grayson 11:05am (MST) Presentation: 15 min. Q&A: 5 min. Infrastructure; Trustworthy Machine Learning (Sandia)
Keynote: Machine Learning for Fundamental Physics Daniel Whiteson 11:30am (MST) Presentation: 50 min. Q&A: 10 min. UC Irvine
The On-Store Intelligence Index (OSII) Heidi Komkov 12:30pm (MST) Presentation: 15 min. Q&A: 5 min. Infrastructure (Sandia)
Lunch Break - (12:50 PM - 1:50 PM) 60 minutes
Speed Networking (In Person) NM - (12:50 PM - 1:50 PM) 60 minutes
Laterally Primed Adaptive Resonance Theory (LaPART), an Attempt to Solve the Stability/Plasticity Dilemma Anthony Menicucci 1:50pm (MST) Presentation: 20 min. Q&A: 5 min. Applications; Deep learning; Theory (Sandia)
On How Muon Reshapes Skill Learning Dynamics Alex Reyes Aranda 2:25pm (MST) Presentation: 15 min. Q&A: 5 min. Deep learning; Theory; Trustworthy Machine Learning (Sandia)
SUPN: Shallow Universal Polynomial Networks Zachary Morrow 2:45pm (MST) Presentation: 20 min. Q&A: 5 min. Scientific machine learning; Theory (Sandia)
PM Break - (3:10 PM - 3:25 PM) 15 minutes
Coupling Probabilistic Deep-Learning Surrogates to Quantum Optimization for Wildfire Evacuation Routing Shrey Upadhyay 3:25pm (MST) Presentation: 30 min. Q&A: 5 min. Applications; Probabilistic methods (Spindle Global, Inc.)
Elastic Distance Metrics and Conformal Methods for Functional Classification and Regression Gavin Collins 4:00pm (MST) Presentation: 15 min. Q&A: 5 min. Probabilistic methods (Sandia)
End of Workshop Session Day 1 (4:20pm)
Nuclear Museum Mixer 6:00pm (MST) (In person, Albuquerque, NM, Open to public)
Union Market Mixer 7:30pm (EST) (In person, Washington D.C., Open to public)

Day 2: Tuesday August 4, 2026

Dial in by Phone: +1 505-373-1510,,542115879# United States, Albuquerque Phone conference ID: 542 115 879#
Dial in by phone +1 505-373-1510,,717665300# United States, Albuquerque Phone conference ID: 717 665 300#
Title Speaker Time Duration Notes
DAY 2 - (Main Topics: Scientific ML and Applications)
Welcome Sarah Ackerman/Tyson Bailey 8:55am (MST) 5 min.
Keynote: Rules for Neural Traffic: A New Defensive Layer for LLMs Gilad Gressel and Shir Rozenfeld 9:00am (MST) Presentation: 50 min. Q&A: 10 min.
A Latent Space Error Based Framework for Efficient Optimization of Semiconductor Device Models Keshab Sapkota 10:00am (MST) Presentation: 15 min. Q&A: 5 min. Scientific Machine Learning (Sandia)
Adaptive Surrogate Modeling with Neural Networks for PDE-Constrained Optimization Brian Chen 10:20am (MST) Presentation: 15 min. Q&A: 5 min. Scientific Machine Learning (Sandia)
AM Break (10:40am - 10:55am) 15 min.
Physics-Informed ML for Lattice QCD and Neutrino Physics: Toward Understanding the Matter/Antimatter Asymmetry Raza Sufian 10:55am (MST) Presentation: 20 min. Q&A: 5 min. Scientific Machine Learning (New Mexico State University)
A Data-Driven Enhancement for Seamlessly Integrating Fluid Effects into Conduction-Reaction Fire-Safety Simulations Brooke Beck 11:20am (MST) Presentation: 15 min. Q&A: 5 min. Scientific Machine Learning (Sandia)
Machine-Learning-Based Segmentation of Microstructural Datasets Francisco Torres Herrador 11:40am (MST) Presentation: 15 min. Q&A: 5 min. Applications; Scientific Machine Learning (New Mexico State University)
Lunch Break (12:00pm - 1:00am) 60 min.
Speed Networking (Virtual) NM (12:00pm - 1:00am) 60 min.
Deploying Models to Power and Memory Constrained Edge Computing Devices Shrusti Jain 1:00pm (MST) Presentation: 20 min. Q&A: 5 min. Applications (Sandia)
Manifold-Based SAR ATR: UMAP Embeddings Enable Fast Training and Strong Measured-Data Accuracy Using Predicted-Only Training Data Michelle Hummel 1:25pm (MST) Presentation: 15 min. Q&A: 5 min. Applications (Sandia)
Pre-processing for SAR ATR on the SAMPLE dataset Shawn Martin 1:50pm (MST) Presentation: 20 min. Q&A: 5 min. Applications (Sandia)
PM Break (2:15pm - 2:30pm) 15 min.
Neural Network Augmented IMU Compensation for Improved Inertial-Only Navigation in GNSS Contested Environments David Olson 2:30pm (MST) Presentation: 10 min. Q&A: 5 min. Applications (Sandia)
AI-Enabled Resilient Power Systems: From Learning-Based Control to Real-World Grid Intelligence Di Shi 2:45pm (MST) Presentation: 35 min. Q&A: 5 min. Applications; Reinforcement learning; Trustworthy Machine Learning (New Mexico State University/ECE)
End of Workshop Session Day 2 (3:25 pm)

Day 3: Wednesday August 5, 2026

Dial in by Phone: +1 505-373-1510,,542115879# United States, Albuquerque Phone conference ID: 542 115 879#
Dial in by phone +1 505-373-1510,,717665300# United States, Albuquerque Phone conference ID: 717 665 300#
Title Speaker Time Duration Notes
DAY 3 – (Main Topics: Reinforcement Learning and Deep Learning)
Welcome Sarah Ackerman/Tyson Bailey 8:55am (MST) 5 min
Reinforcement and LLM Optimization: Red Plans in Dante for Physical Security Analysis Nathan Fabian 9:00am (MST) Presentation: 20 min Q&A: 5 min Reinforcement Learning (Sandia)
Embedding Physical Structure into Robot Learning: From Dynamics Learning and Control to Cross-Embodied World Models Lu Gan 9:25am (MST) Presentation: 30 min Q&A: 5 min Reinforcement Learning (Georgia Institute of Technology)
Keynote: Human/AI Teaming Anita Sarma 10:00 am (MST) Presentation: 50 min Q&A: 10 min Oregon State University
AM Break -(11:00 am - 11:15 am) 15 min
NEST: A Lightweight Reinforcement Learning Adapted Vector Database for Low-Power Edge Devices Sarah Glatter 11:15am (MST) Presentation: 15 min Q&A: 5 min Reinforcement Learning (University of Maine)
From Words to Masks Ethan Reid 11:35pm (MST) Presentation: 20 min Q&A: 5 min Deep Learning; Reinforcement Learning; Generative AI (Moondream)
Lunch Break -(12:00 pm - 1:00 pm) 60 min
Disentanglement with Holographic Reduced Representations Jhonny Velasquez Olivera 1:00pm (MST) Presentation: 20 min Q&A: 5 min Deep Learning (Virginia Tech)
Uncertainty-Aware Mixture-of-Experts Surrogates for Viscoplastic Constitutive Modeling Pieterjan Robbe 1:25pm (MST) Presentation: 15 min Q&A: 5 min Deep Learning; Scientific Machine Learning; Trustworthy Machine Learning (Sandia)
Benchmarking 1D and 2D CNN Architectures against Whisper-AI for Limited-Vocabulary Spoken Word Classification Kaveh Heidary 1:45pm (MST) Presentation: 25 min Q&A: 5 min Deep Learning (Alabama A&M University)
PM Break -(2:15 pm - 2:45 pm) 30 min
SomAtt: A Language Model for the Tumor Genome David Arredondo 2:50pm (MST) Presentation: 15 min Q&A: 5 min Applications; Deep Learning; Generative AI (University of New Mexico)
Performance of Vision-Language Models in Blast Severity Analysis Salvador Sanchez 3:10pm (MST) Presentation: 15 min Q&A: 5 min Deep Learning; Generative AI (Sandia)
End of Workshop Session Day 3 (3:30 pm)
Apothecary 6:00pm (MST) (In person, New Mexico, Open to public)

Day 4: Thursday August 6, 2026

Dial in by Phone: +1 505-373-1510,,542115879# United States, Albuquerque Phone conference ID: 542 115 879#
Dial in by phone +1 505-373-1510,,717665300# United States, AlbuquerquePhone conference ID: 717 665 300#
Title Speaker Time Duration Notes
DAY 4 – (Main Topics: Generative AI and Trustworthy ML)
Welcome Sarah Ackerman/Tyson Bailey 8:55am (MST) 5 min
Keynote: Panel discussion on Trustworthy AI and Agentic Systems Scott Steinmetz, Ace Sorensen, Chris Garasi, Reed Milewicz 9:00am (MST) Presentation: 40 min Q&A: 20 min Sandia
A Large-Scale Empirical Audit of Security Defects in LLM-Generated Web Applications Produced by Non-Expert Users Celestina Kolog 10:00am (MST) Presentation: 20 min Q&A: 5 min Applications; Generative AI (Florida A&M University)
MADA: Accelerating CAD Modeling and Meshing through Generative AI Agents Nathan Brown 10:25 am (MST) Presentation: 20 min Q&A: 5 min 2025 Featured Talk
AM Break -(10:50 am - 11:15 am) 25 min
AutoINT - human in the loop agentic AI Ace Sorensen 11:15am (MST) Presentation: 15 min Q&A: 5 min Reinforcement Learning (Sandia)
Lunch Break -(11:35 am - 12:45 pm) 70 min
Hype-Agents: Hypothesis Generation and Evaluation for Trustworthy Reporting Scott Steinmetz 12:50pm (MST) Presentation: 30 min Q&A: 5 min Generative AI; Trustworthy Machine Learning
Mechanistic Interpretability in Scientific Forecasting with Concept Bottleneck Models Sanah Suri 1:25pm (MST) Presentation: 20 min Q&A: 5 min Applications, Scientific Machine Learning; Trustworthy Machine Learning (University of California, Davis)
Toward Certifying Trustworthy Machine Learning Michael Darling 1:50pm (MST) Presentation: 20 min Q&A: 5 min Trustworthy Machine Learning (Sandia)
PM Break -(2:15 pm - 2:30 pm) 15 min
Securing Agentic AI: From Model-Level Control to Ecosystem Governance Yuan Tian 2:30pm (MST) Presentation: 30 min Q&A: 5 min Trustworthy Machine Learning (University of California, Los Angeles)
A multi-objective optimization framework for trustworthy machine learning Boaz Adikaibe 3:05pm (MST) Presentation: 20 min Q&A: 5 min Trustworthy Machine Learning (Sandia)
Closing Remarks Sarah Ackerman/Tyson Bailey 3:30pm (MST) 10 mins
End of Workshop Session Day 4 (3:40pm)