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The divide between academic research and industrial applications is narrowing, fueled by shared data, mutual funding opportunities, and translational innovation. This session, presented by the ISCB Industry Advisory Council, spotlights the evolving ecosystem connecting academia and industry.
We’ll explore how computational biologists can navigate and shape this space, from leveraging public datasets, launching startups, collaborating on research efforts within industry, and securing funding from public-private partnerships. Featuring voices from pharma, biotech, funding agencies, and academia, this session is a roadmap for those curious about careers in industry, partnerships that move science forward, and how to turn research into real-world impact.
Schedule subject to change
All times listed are in BST
11:20-12:10
Room: 03B
Format: In person
Authors List: Show
Presentation Overview: Show
• Introduction of the ISCB Industry Advisory Council and session overview
• Overview of the academia–industry–startup pipeline
• Framing questions: How do discoveries become products? What does meaningful collaboration look like?
12:10-13:00
Room: 03B
Format: In person
Authors List: Show
Presentation Overview: Show
Explore the early stages of innovation where research meets entrepreneurship. Speakers will discuss:
• What makes a scientific idea “translatable” in the eyes of investors or biotech accelerators
• How academics can navigate the startup
14:00-16:00
Room: 03B
Format: In person
Authors List: Show
Presentation Overview: Show
Focus on later-stage collaborations and real-world applications. Panelists will cover:
• How computational biology fuels industry R&D pipelines
• How to start an Open Source software company?
• Collaboration models between academia, industry, and public funders
• Career navigation
16:40-18:00
Room: 03B
Format: In person
Authors List: Show
Presentation Overview: Show
Review some key areas of funding strategy aligning with innovation pipelines such as:
• Navigating government and cross-sector funding channels
• Emerging biotech/AI policy in the UK and globally
• Role of public datasets and infrastructure in enabling industry research
• Strategies to foster equitable, sustainable academic-industry partnerships