Revvity Signals has announced a new edition of its Signals Connect webinar series, focused on how artificial intelligence and ontology-driven workflows are transforming scientific data management and discovery.
The upcoming webinar, “Smarter Science with AI: Ontology-Driven Workflows in Signals,” will take place on Wednesday, February 18th, 2026, and will explore how modern AI capabilities can help scientists accelerate research, improve data consistency, and extract insights more efficiently—without adding unnecessary complexity to existing workflows.
What the webinar will cover
Participants will gain practical insights into how Signals integrates AI and semantic technologies to support modern scientific research, including:
- Using semantic search and AI-powered services to streamline insight discovery across complex scientific datasets
- Improving experiment documentation and leveraging text-to-image extraction for more efficient workflows
- A preview of upcoming ontology support in Signals, and how structured vocabularies enhance scientific data
- Enhancing data consistency and enabling smarter downstream analysis through ontology-driven structures
Presenters
The session will be led by two experts from Revvity Signals:
- Samantha Jeschonek, Ph.D.
Product Portfolio Manager at Revvity Signals, with a background in molecular biology, cell biology, and biochemistry, and extensive experience in drug discovery informatics and FAIR data practices. - Chris Stumpf, Ph.D.
Director of Drug Discovery Informatics Solutions, bringing over 20 years of experience in analytical instrumentation and informatics across life sciences and materials research.
Event details
- Date: Wednesday, February 18th, 2026
- Time: 8:00 AM PST | 11:00 AM EST | 5:00 PM CET
- Format: Online webinar (registration required)
This webinar is particularly relevant for professionals working in life sciences, molecular biology, drug discovery, and data-driven research environments who are looking to improve how scientific knowledge is captured, structured, and reused.