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2025 EMSL Summer School
July 7 - 11, 2025

Overview

Watch presentations on the fundamentals of artificial intelligence (AI) and machine learning, large language models (LLMs), and the use of LLMs to create semi-autonomous software agents. 

Day 1: Artificial Intelligence/Machine Learning: How They Are Used in Biological Research and Their Opportunities and Challenges

Unlocking Biological Insights with Artificial Intelligence

Photo of Lisa Bramer

Lisa Bramer

Pacific Northwest National Laboratory

Foundations of Artificial Intelligence and Machine Learning in Biology

Photo of Javier Flores

Javier Flores

Pacific Northwest National Laboratory

Machine Learning Pipelines for Biological Applications

Luke Durrell

Luke Durell

Pacific Northwest National Laboratory

Common Pitfalls and Best Practices in Artificial Intelligence and Machine Learning

Moses Obiri

Moses Obiri

Pacific Northwest National Laboratory

Day 2: Large Language Models: How They Are Created and Used for Scientific Research

Introduction to Large Language Models

Emily Saldanaha

Emily Saldanaha

Pacific Northwest National Laboratory

An Overview of Large Language Models and Artificial Intelligence

Jessica Baweja

Jessica Baweja

Pacific Northwest National Laboratory

An Introduction to Retrieval-Augmented Generation Pipelines

Sumit Purohit

Sumit Purohit

Pacific Northwest National Laboratory

CACTUS: The Chemistry Agent Connecting Tool Usage to Science

Rohith Varikoti

Rohith Varikoti

Pacific Northwest National Laboratory

Day 4: Science Agents: What They Are and How They Can Be Used

Artificial Intelligence and Agents in the Life Sciences: A View from Industry

Ariella Sasson

Ariella Sasson

Worldwide Solutions Architect leader for data and AI focusing on healthcare and life sciences

Scientific Proposal Development with Large Language Models

Natasha Arokium-Christian

Natasha Arokium-Christian

EMSL

Exploring Agentic Artificial Intelligence for Biochemical Research

August George

August George

EMSL

Adapting Multimodal and Reasoning Models for Science

Gihan Panapitiya

Gihan Panapitiya

PNNL

Deploying Artificial Intelligence Tools at Scale

Makena Dettman

Makena Dettmann

EMSL

Day 5: Autonomous Experimentation and Laboratory Automation: Where We Are at and Where We Can Go

Learning Metabolic Models from a Blank Slate with Automated Experiments

Paul Jensen

Paul Jensen

University of Michigan

PNNL’s SmartLabs-optimizing and Augmenting Laboratory Capabilities

Russ Burtner

Russ Burtner

Pacific Northwest National Laboratory
Tom Brunner

Tom Brunner

Pacific Northwest National Laboratory

Panel Discussion: Automation and Artificial Intelligence

Erin Bredeweg

Erin Bredeweg

EMSL
Moses Obiri

Moses Obiri

Pacific Northwest National Laboratory
Micah Miller

Micah Miller

Pacific Northwest National Laboratory
Bram Stone

Bram Stone

Pacific Northwest National Laboratory