Episode 18: Research Data Science in Biotech

Vanishing Gradients

Το περιεχόμενο παρέχεται από το Hugo Bowne-Anderson. Όλο το περιεχόμενο podcast, συμπεριλαμβανομένων των επεισοδίων, των γραφικών και των περιγραφών podcast, μεταφορτώνεται και παρέχεται απευθείας από τον Hugo Bowne-Anderson ή τον συνεργάτη της πλατφόρμας podcast. Εάν πιστεύετε ότι κάποιος χρησιμοποιεί το έργο σας που προστατεύεται από πνευματικά δικαιώματα χωρίς την άδειά σας, μπορείτε να ακολουθήσετε τη διαδικασία που περιγράφεται εδώ https://el.player.fm/legal.

1+ y ago 1:12:42

MP3•Αρχική οθόνη επεισοδίου

Hugo speaks with Eric Ma about Research Data Science in Biotech. Eric leads the Research team in the Data Science and Artificial Intelligence group at Moderna Therapeutics. Prior to that, he was part of a special ops data science team at the Novartis Institutes for Biomedical Research's Informatics department.

In this episode, Hugo and Eric talk about

What tools and techniques they use for drug discovery (such as mRNA vaccines and medicines);
The importance of machine learning, deep learning, and Bayesian inference;
How to think more generally about such high-dimensional, multi-objective optimization problems;
The importance of open-source software and Python;
Institutional and cultural questions, including hiring and the trade-offs between being an individual contributor and a manager;
How they’re approaching accelerating discovery science to the speed of thought using computation, data science, statistics, and ML.

And as always, much, much more!

LINKS

Eric's website
Eric on twitter
Vanishing Gradients on YouTube
Cell Biology by the Numbers by Ron Milo and Rob Phillips
Eric's JAX tutorials at PyCon and SciPy
Eric's blog post on Hiring data scientists at Moderna!

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#Tech #Hugo BowneAnderson Its #Data Science #Machine Learning