Productizing Research Code: Martin Steinegger on how to create useful and reusable Software

Productizing Research Code: Martin Steinegger on how to create useful and reusable Software

Dr. Martin Steinegger is an expert in computational biology and bioinformatics, specializing in large-scale sequence data analysis. He earned his Ph.D. from the Technical University of Munich in collaboration with the Max Planck Institute for Biophysical Chemistry, focusing on methods to cluster and assemble metagenomic sequencing data. Currently an Associate Professor at Seoul National University, his research group develops novel computational methods to analyze microbial communities using machine learning and big data algorithms. Martin is the creator of MMseqs, a highly efficient software suite for protein sequence searches and co-author of AlphaFold2. His work in pathogen detection and metagenomics has made a significant impact on bioinformatics, with a strong commitment to open science and open-source tools.


Together with Martin we discuss the importance of productizing research code and the key factors for creating reusable software. He emphasizes the need for user-friendly interfaces, intuitive outputs, and software that doesn't crash. Martin talks about his background in software engineering and how it influenced his approach to developing tools in bioinformatics. Hence, he gives an overview about all the different tools he has developed over the years and for what they are used. Furthermore, he explains the significance of protein structure in understanding protein evolution and function, and highlights the role of his tools MMSeqs and AlphaFold in protein sequence and structure analysis. Martin shares his personal journey from starting in a lower-level school to pursuing higher education and research, driven by his passion for computers and learning.


00:00 - 01:32 Introduction

01:32 - 06:25 Productization of research code

06:25 - 08:20 Testing of software

08:20 - 12:28 Overview about the tools Martin has developed

12:28 - 15:40 The relevance of protein structure

15:40 - 18:00 Structural vs. Statistical approaches

18:00 - 21:00 AlphaFold collaboration and insights

21:00 - 31:10 Martin's personal journey and motivation

31:10 - 33:41 Machines and Molecules theme - 3rd M-Word


Season 2, episode 5 - Category Knowledge

Tämä jakso on lisätty Podme-palveluun avoimen RSS-syötteen kautta eikä se ole Podmen omaa tuotantoa. Siksi jakso saattaa sisältää mainontaa.

Jaksot(20)

Automating Scientific Discovery with MIT Professor Markus J. Buehler

Automating Scientific Discovery with MIT Professor Markus J. Buehler

In this episode of the Machines and Molecules podcast, host Marcus Bühler, the McAfee Professor of Engineering at MIT, discusses the principle of "adaptability" as the most important universal princip...

26 Helmi 43min

Chris Bahl on the Conundrum of Biotech Platforms

Chris Bahl on the Conundrum of Biotech Platforms

Chris Bahl is founder and CEO of AI Proteins. The conversation delves into the challenges faced by platform companies in the biotech sector, highlighting the financial pressures that lead to the cutti...

21 Marras 202533min

Pioneering Molecular Modeling: Victor Guallar’s Insights on Monte Carlo, AI, and Biophysics

Pioneering Molecular Modeling: Victor Guallar’s Insights on Monte Carlo, AI, and Biophysics

Victor Guallar is an ICREA Professor and group leader of the EAPM at the Barcelona Supercomputing Center and Co-Founder of Nostrum Biodiscovery. With a joint PhD from the Autonomous University of Barc...

11 Joulu 202432min

Building Bridges in Biotech: Markus Müller on CLIB’s Role in Creating a Collaborative and Connected Bioeconomy

Building Bridges in Biotech: Markus Müller on CLIB’s Role in Creating a Collaborative and Connected Bioeconomy

Markus Müller is an experienced project manager with expertise in biotechnology and bioeconomy, focused on bridging research and industry to advance sustainable bioprocesses. As Project Manager at CLI...

5 Marras 202435min

Accelerating AI Innovation: Laura Möller’s Mission to Shape the Startup Ecosystem and Foster Entrepreneurship in Academia.

Accelerating AI Innovation: Laura Möller’s Mission to Shape the Startup Ecosystem and Foster Entrepreneurship in Academia.

Laura Möller is a seasoned expert in venture capital and entrepreneurship, with a focus on artificial intelligence and technology transfer. She holds leadership roles as Director of the Künstliche Int...

10 Loka 202433min

Driving Innovation Forward: Carlos Härtel on Deep Tech Solutions and Market Adoption

Driving Innovation Forward: Carlos Härtel on Deep Tech Solutions and Market Adoption

In this episode we host Carlos Härtel, an expert in innovation and strategy within the applied sciences. Carlos holds a Habilitation in Mechanical Engineering from ETH Zürich and a PhD in Chemical Eng...

29 Heinä 202434min

AI Meets Protein Science: Dr. Stanislav Mazurenko on the Impact of Machine Learning in Protein Engineering

AI Meets Protein Science: Dr. Stanislav Mazurenko on the Impact of Machine Learning in Protein Engineering

In this episode, we are excited to host Dr. Stanislav Mazurenko, a leading expert in protein engineering and artificial intelligence. With a Ph.D. in applied mathematics and cybernetics from Lomonosov...

4 Heinä 202436min

Suosittua kategoriassa Tiede

rss-mita-tulisi-tietaa
rss-poliisin-mieli
tiedekulma-podcast
rss-tiedetta-vai-tarinaa
utelias-mieli
docemilia
sotataidon-ytimessa
filocast-filosofian-perusteet
menologeja-tutkimusmatka-vaihdevuosiin
rss-bios-podcast
rss-ranskaa-raakana
rss-duodecim-lehti
rss-duokkari-ekstra
rss-astetta-parempi-elama-podcast
rss-metsantuntijat-podcast
rss-ilmasto-kriisissa
rss-ylistys-elaimille
rss-sosiopodi