Predicting Metabolic Pathway Dynamics with Machine Learning with Zak Costello

EPISODE 163
LISTEN
Banner Image: Zak Costello - Podcast Interview
Join our list for notifications and early access to events

About this Episode

In today's episode I'm joined by Zak Costello, post-doctoral fellow at the Joint BioEnergy Institute.

Zak joins me to discuss his recent paper, "A machine learning approach to predict metabolic pathway dynamics from time-series multiomics data." In our conversation, we start with an overview of synthetic biology, and from there dig into Zak's particular application, which is the use of ML techniques to optimize metabolic reactions for engineering biofuels at scale. We get into an interesting chat about BioHacking at the end of our interview; it turns out that it's pretty easy for hobbyists to get started on this type of work, which is pretty wild.

Connect with Zak
Read More

Related Episodes

Related Topics

More from TWIML

Leave a Reply

Your email address will not be published.