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src/content/podcast/2024/ep34_jakob_zeitler_materials_science.md
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title: "Nextflow in materials science: Jakob Zeitler" | ||
episode: 34 | ||
description: We speak to Jakob from Matterhorn Studio about how they use Nextflow and Seqera Platform in materials science research. | ||
date: 2024-04-02 | ||
type: podcast | ||
subtype: Interview | ||
youtubeid: GzuKTMXUb0 | ||
image: /img/podcast_ep34.png | ||
tags: nextflow,opensource | ||
author: Developer advocates | ||
icon: logo_podcast_channels.jpg | ||
--- | ||
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In this episode of Channels, we talk to Jakob Zeitler - Head of R&D at Matterhorn Studios. | ||
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We dive into how they use Nextflow and Seqera Platform for material science research, paving the way for cheaper and more eco-friendly products for the future ⚗️👩🏻🔬🔬🌎 | ||
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It may not be bioinformatics, but there's a lot that's in common! | ||
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Jakob is currently finishing his PhD at UCL, and he started Matterhorn STUDIO in 2022 | ||
to bring machine learning to materials science. | ||
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We talk about how advances in materials science can bring many benefits to mankind, | ||
for example better materials to help the fight against climate change. | ||
However, the current paradigms are too slow, with and average 20 years form inception to market. | ||
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Matterhorn STUDIO was founded to bring efficient experimentation to materials science, | ||
using Nextflow to structure ML routines - specifically Bayesian Optimisation. | ||
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We talk about why Matterhorn STUDIO chose Nextflow to run their computational workloads, | ||
and how they built on top of the Seqera Platform API to create their tools and abstract | ||
the complexity of cloud computing away from users. All the time whilst staying true to | ||
open-source science, with reproducible and portable analysis pipelines. |