Menu
Sign In Search Podcasts Charts People & Topics Add Podcast API Pricing
Podcast Image

Data in Biotech

Transforming Houseplants with Synthetic Biology with Patrick Torbey

14 May 2025

Description

In this episode of Data in Biotech, host Ross Katz speaks with Patrick Torbey, CEO and Co-Founder of Neoplants, about using genetic engineering and microbiome innovation to tackle indoor air pollution. Patrick explains how Neoplants is turning everyday houseplants into powerful air purifiers using synthetic biology, offering insights into VOC degradation, enzyme pathways, and data-driven R&D. ​​What You'll Learn in This Episode: How genetically modified plants and microbiomes can reduce indoor air pollution by targeting VOCs like formaldehyde and benzeneThe scientific and engineering challenges of modifying indoor plants at the genomic levelWhy data-driven testing and simulation are critical to optimizing plant function and user impactThe role of synthetic biology in creating sustainable, scalable biotech productsPatrick’s vision for solving climate challenges through engineered plant ecosystems ​​Meet Our Guest: Patrick Torbey is the CEO and Co-Founder of Neoplants, a Paris-based biotech startup engineering plants to purify indoor air. With a PhD in genetic editing and deep expertise in synthetic biology, Patrick leads Neoplants in building functional, aesthetically unique, and sustainable plant systems for the future. About The Host: Ross Katz is the Principal Data Scientist at CorrDyn. He brings decades of experience across biotech, energy, and non-profit sectors, with a focus on building smarter data systems, machine learning pipelines, and actionable insights for complex industries. Connect with Our Guest: Sponsor: CorrDyn, a data consultancyFind out more about NeoplantsConnect with Patrick Torbey on LinkedIn Connect with Us: Follow the podcast for more insightful discussions on the latest in biotech and data science.Subscribe and leave a review if you enjoyed this episode!

Audio
Featured in this Episode

No persons identified in this episode.

Transcription

This episode hasn't been transcribed yet

Help us prioritize this episode for transcription by upvoting it.

0 upvotes
🗳️ Sign in to Upvote

Popular episodes get transcribed faster

Comments

There are no comments yet.

Please log in to write the first comment.