From Petri Dish to Prediction: AI-Driven Aerobiology for Smarter Filtration
Dr. John Ryan
CEO
iAIR Labs, IE
Speaker Bio
During his career, John has held executive roles including Chief Operating Officer, Commercial Director, and Director of Services and Strategy. His expertise spans sales and marketing, new business development, diversification of products and services, oversight of major contracts, regulatory compliance, and market development.
John has advised private and public sector clients on business development, strategy, and governance, and has supported investors, including VC funds, on due diligence and business appraisal assignments. He has worked across Ireland, the UK, the USA, Canada, South Africa, and Saudi Arabia with both SMEs and multinational organisations.
An experienced non-executive director and Chairman in commercial and not-for-profit sectors, John served on ISME, the Irish business representative group, for over 10 years, including as Vice-Chairman and Chairman. He was also appointed to the Irish Department of Jobs, Enterprise & Innovation’s inaugural Small Business Forum in 2011, contributing to the government’s first Action Plan for Jobs (2012).
Presentation time
December 3, 2025
10:55 am - 11:10am EST
Abstract
The next frontier in smart filtration extends beyond reducing or removing airborne pollutants; it lies in quantifying their impact on human health with scientific rigour. While traditional performance testing provides valuable benchmarks, it often falls short of capturing the dynamic and biologically complex environments in which filtration systems operate. Bridging this gap requires innovative approaches that integrate aerobiology, advanced sensor technologies, and artificial intelligence.
This presentation explores how chamber-based studies of allergens, pathogens, and pollutants can be combined with real-time indoor air quality sensor data to generate dynamic, high-resolution datasets. Leveraging machine learning and predictive modelling, filtration research can move beyond static capture efficiency to deliver actionable insights into health outcomes, consumer exposure, and system performance in real-world conditions.
The convergence of aerobiology and AI-driven analytics offers manufacturers and researchers a pathway to accelerate regulatory acceptance, substantiate health-related claims, and build greater trust with end users. By linking biological impact with intelligent data, filtration can evolve from a passive barrier into an active, predictive system that safeguards health and drives innovation across the industry.