24 min listen
Predicting Metabolic Pathway Dynamics w/ Machine Learning with Zak Costello - TWiML Talk #163
FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Predicting Metabolic Pathway Dynamics w/ Machine Learning with Zak Costello - TWiML Talk #163
FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
ratings:
Length:
40 minutes
Released:
Jul 11, 2018
Format:
Podcast episode
Description
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. For the complete show notes, visit twimlai.com/talk/163. To nominate us for Best Podcast and Best Technology Podcast at this years People's Choice Podcast Awards, visit twimlai.com/nominate!
Released:
Jul 11, 2018
Format:
Podcast episode
Titles in the series (100)
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