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2025 EMSL Summer School
July 7 - 11, 2025

From Artificial Intelligence and Machine Learning to Agent-Based Science

July 7-11, 2025
Pacific Northwest National Laboratory and online via Zoom

2025 Summer School: From Artificial Intelligence and Machine Learning to Agent-Based Science. Save the date: July 7-11, Richland, WA and online. AI, data streams, and robots

EMSL invests in artificial intelligence (AI)-based agents to complement our breadth of experimental capabilities, enhance data integration, and accelerate the coupling between modeling and experiment. This weeklong summer school will introduce the fundamentals of artificial intelligence and machine learning (AI/ML), large language models (LLMs), and the use of LLMs to create semi-autonomous software agents. The course will also highlight how AI-based agents enable better utilization of emerging laboratory automation capabilities.

Morning presentations are available to the worldwide audience for free via Zoom.

Register to attend

July 7: Artificial Intelligence/Machine Learning: How They Are Used in Biological Research and Their Opportunities and Challenges

8:30 a.m. | Welcome and Introduction

8:45 a.m. | Keynote: Unlocking Biological Insights with Artificial Intelligence

9:35 a.m. Foundations of Artificial Intelligence and Machine Learning in Biology

10:15 a.m. | Break

10:30 a.m. | Machine Learning Pipelines for Biological Applications 

11:10 a.m. | Common Pitfalls and Best Practices in Artificial Intelligence and Machine Learning

July 8: Large Language Models: How They Are Created and Used for Scientific Research

8:30 a.m. | Welcome and Introduction

8:45 a.m. | An Overview of Large Language Models and Artificial Intelligence

10 a.m. An Introduction to Retrieval-Augmented Generation Pipelines 

11 a.m. | Break

11:15 a.m. | Keynote: CACTUS- The Chemistry Agent Connecting Tool Usage to Science 

July 9:  Artificial Intelligence Agents: What They Are and How They Are Created

8:30 a.m. | Welcome and Introduction

8:45 a.m. | Keynote: Artificial Intelligence Ethics and AI-Ready Data: Foundations for Trustworthy Agents 

9:35 a.m. | Protocol Analyzer: Assistant vs Agent 

10:15 a.m. | Break

10:30 a.m. | Intro to Agents 

11:10 a.m. | How to Leverage Agents Responsibly in Software Development 

July 10: Science Agents: What They Are and How They Can Be Used

8:30 a.m. | Welcome and Introduction 

8:45 a.m. | Keynote: Artificial Intelligence and Agents in the Life Sciences: A View from Industry

  • Ariella Sasson | Worldwide Solutions Architect leader for data and AI focusing on healthcare and life sciences

9:45 a.m. | Scientific Proposal Development with Large Language Models

10:15 a.m. | Break

10:30 a.m. | Exploring Agentic Artificial Intelligence for Biochemical Research

11 a.m. Adapting Multimodal and Reasoning Models for Science

11:30 a.m. | Deploying Artificial Intelligence Tools at Scale

July 11: Autonomous Experimentation and Laboratory Automation: Where We Are at and Where We Can Go

8:30 a.m. | Welcome and Introduction 

8:45 a.m. | Keynote: Learning Metabolic Models from a Blank Slate with Automated Experiments 

  • Paul Jensen | Assistant Professor, Biomedical Engineering | University of Michigan

9:40 a.m. | PNNL’s SmartLabs-optimizing and Augmenting Laboratory Capabilities

10:35 a.m. | Break

10:50 a.m. | Panel Discussion: Automation and Artificial Intelligence

 

Ariella Sasson

Ariella Sasson

Worldwide Solutions Architect leader for Data and AI focusing on healthcare and