))
Automating Bioprocessing to Speed up Workflows with Invert
Manage episode 443178301 series 3526491
Content provided by CorrDyn. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by CorrDyn or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
This week on Data in Biotech, we’re joined by Martin Permin, the co-founder of Invert, a company that builds software that automates bioprocessing.
Martin talks us through his own unique journey into biotech - starting from a role at Airbnb - through to co-founding Invert. Invert helps users grab data from their instruments, map out their individual processes, clean up the data for analysis, and look for ways to speed up the “mundane” data cleaning tasks that often take up the majority of one’s time.
With our host, Ross Katz, Martin tells us the statistical problems Invert works to solve for their different types of clients: biologic development labs, full-scale manufacturers, and CDMOs. While they all approach data cleaning and analysis from different directions, Invert can see how clients use the system and look for ways to automate repeated processes to help them save time.
They discuss implementing Invert into the Design, Build, Test, Learn Loop and why Invert is invested in reducing how many times one has to go around that loop. Martin explains how his company looks to reduce the risk in tech transfer in both directions, in terms of time and labor.
Then, the conversation moves to ML/AI, where Martin tells us how a lot of his customers are finding that the bottlenecks in their processes aren’t where they thought they were, thanks to using Invert for process automation.
Finally, Martin gives us his opinions on the future trends around the corner for the biotech industry - and how Invert is preparing themselves and their customers.
Data in Biotech is a fortnightly podcast exploring how companies leverage data innovation in the life sciences.
Chapter Markers
[1:29] Introduction to Martin and his journey into biotech
[4:10] Introduction to Invert - the what and why
[6:47] How Invert is implemented into a customer’s workflow
[11:36] The problems Invert can solve
[16:16] Design > build > test > learn… and how Invert facilitates that
[20:00] CDMOs and contractors - how Invert works with their different customers
[22:15] The use of ML/AI in bio-processing
[33:40] Trends in Biotech that will influence Invert over the long-term
30 episodes
Share
