web01.fireside.fm Tue, 07 Apr 2026 11:23:29 -0500 Fireside (https://fireside.fm) Vanishing Gradients - Episodes Tagged with “Biotech” https://vanishinggradients.fireside.fm/tags/biotech Thu, 25 May 2023 08:00:00 +1000 A podcast about all things data, brought to you by data scientist Hugo Bowne-Anderson. It's time for more critical conversations about the challenges in our industry in order to build better compasses for the solution space! To this end, this podcast will consist of long-format conversations between Hugo and other people who work broadly in the data science, machine learning, and AI spaces. We'll dive deep into all the moving parts of the data world, so if you're new to the space, you'll have an opportunity to learn from the experts. And if you've been around for a while, you'll find out what's happening in many other parts of the data world. en-us episodic a data podcast with hugo bowne-anderson Hugo Bowne-Anderson A podcast about all things data, brought to you by data scientist Hugo Bowne-Anderson. It's time for more critical conversations about the challenges in our industry in order to build better compasses for the solution space! To this end, this podcast will consist of long-format conversations between Hugo and other people who work broadly in the data science, machine learning, and AI spaces. We'll dive deep into all the moving parts of the data world, so if you're new to the space, you'll have an opportunity to learn from the experts. And if you've been around for a while, you'll find out what's happening in many other parts of the data world. no data science, machine learning, AI Hugo Bowne-Anderson hugobowne@hey.com Episode 18: Research Data Science in Biotech https://vanishinggradients.fireside.fm/18 83afeb64-21ec-4828-bf96-75a08c710391 Thu, 25 May 2023 08:00:00 +1000 Hugo Bowne-Anderson full 1 Hugo Bowne-Anderson Machine learning, deep learning, Bayesian inference for drug discovery, OSS, and accelerating discovery science to the speed of thought! 1:12:42 no 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 (https://ericmjl.github.io/) Eric on twitter (https://twitter.com/ericmjl) Vanishing Gradients on YouTube (https://www.youtube.com/channel/UC_NafIo-Ku2loOLrzm45ABA) Cell Biology by the Numbers by Ron Milo and Rob Phillips (http://book.bionumbers.org/) Eric's JAX tutorials at PyCon (https://youtu.be/ztthQJQFe20) and SciPy (https://youtu.be/DmR36wtel4Y) Eric's blog post on Hiring data scientists at Moderna! (https://ericmjl.github.io/blog/2021/8/26/hiring-data-scientists-at-moderna-2021/) machine learning, AI, data science, open source, python, biotech 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

]]> 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

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