MIT CBI 2026 BioMAN Summit

Name: MIT CBI 2026 BioMAN Summit
Start: 2026-12-09T08:00:00-07:00
End: 2026-12-10T17:00:00-07:00
Location: Samberg Conference Center

Details	Price	Qty
Industry (In-Person)	$999.00 USD ea	Select this ticket
Industry (Virtual)	$849.00 USD ea	Select this ticket
Government & Non-Profit (In-Person)	$249.00 USD ea	Select this ticket
Government & Non-Profit (Virtual)	$99.00 USD ea	Select this ticket
Academic (In-Person)	$249.00 USD ea	Select this ticket
Academic (Virtual)	$99.00 USD ea	Expired
BioMAN Members (In-Person)	$0.00 USD ea	Select this ticket
BioMAN Members (Virtual)	$0.00 USD ea	Select this ticket
CAACB Members (In-Person)	$499.00 USD ea	Select this ticket
CAACB Members (Virtual)	$349.00 USD ea	Select this ticket
MIT Community (In-Person)	$49.00 USD ea	Select this ticket
MIT Community (Virtual)	$0.00 USD ea	Select this ticket
Summit Speaker	$0.00 USD ea	Select this ticket

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Upcoming Dates

09

Dec

BioMAN Summit

This ticket provides access to the BioMAN 2026 Summit, an open event bringing together leaders from industry, academia, and regulatory agencies to discuss emerging challenges and opportunities in biomanufacturing.

Samberg Conference Center

8:00 am

-

5:00 pm

The 2026 BioMAN Summit held on December 9 – 10, 2026 will bring together leading experts from industry, academia, and regulatory agencies to explore the growing role of artificial intelligence, advanced sensing, and automation in biomanufacturing.

The Summit will examine how these technologies are being integrated into biomanufacturing operations, including data strategies and infrastructure for reliable AI models in GMP environments, maintaining and re-qualifying AI models at manufacturing scale, advances in sensing technologies, automation across biological drug modalities, regulatory expectations, and workforce development for AI-powered facilities.

Discussions will also highlight the potential for AI, real-time sensing, and automation to support continuous process monitoring, optimization, predictive control, predictive maintenance, and quality control and assurance, while considering the challenges associated with successful implementation.