Victoria Yan, Anandhi Iyappan

The Knowledge Catalyst

Science EN ↓ 4 episodes

The Knowledge Catalyst is an open science podcast and an EMBL Open Science Community project, where we hear from the voices of researchers about how they tackle some of the biggest challenges in their field with openness and transparency. We get to know EMBL’s open science champions, in how and why they started their open science journey. Each episode is a starter pack with useful resources and links for applying open science and the FAIR principles in a specific use case.

Author

Victoria Yan, Anandhi Iyappan

Episodes

Renato Alves: Open-source community building power reproducible and collaborative science 22.12.2025 34:37

In this episode of The Knowledge Catalyst , we explore open science in practice through the journey of Renato Alves, a biologist-turned-bioinformatician and Senior Bioinformatics Community Manager at EMBL. Renato shares how open-source values, reproducible research, and thoughtful community management help bridge the gap between lab work, data, and code. The conversation highlights the human and t...

Malvika Sharan: An open science journey in supporting those that support the community 27.08.2025 30:23

In this episode of The Knowledge Catalyst , Victoria speaks with Malvika Sharan, Senior Researcher at the Alan Turing Institute and co-founder of Open Life Science, about her journey in open science and community building. They discuss the challenges of supporting non-traditional research roles, the importance of mentorship and leadership in open science, and the need for greater inclusivity and e...

Jean-Karim Heriché: Open Science must be the standard for modern research 03.07.2025 31:46

In this episode of the Knowledge Catalyst , Dr. Jean-Karim Heriché (JK), the Computational Support at EMBL's Cell Biology and Biophysics Unit, shares insights from his career on how to make your data FAIR and your research more reproducible. He emphasizes that open science begins with consistent, thorough documentation, essential for managing datasets of any size or complexity. JK also advoca...

Mahnoor Zulfiqar: Tackling the bottleneck in metabolomics with a FAIR computational workflow. 12.05.2025 32:33

In the very first episode of The Knowledge Catalyst , Dr. Mahnoor Zulfiqar, postdoctoral fellow at EMBL, shares how she builds FAIR computational workflows to tackle challenges in metabolomics. From identifying unknown compounds using marine-derived metabolites to integrating tools across platforms with Docker and CWL, Mahnoor’s work enhances reproducibility and supports drug discovery. We explore...