## D

:::{profile} Danny Garside
---
roles: |
    Infrastructure Working Group Member (2022-Present)
github: da5nsy
orcid: 0000-0002-0227-836X
mastodon: https://social.coop/\@da5nsy
website: https://www.dannygarside.co.uk/
bio: |
    I am a neuroscientist and meta-scientist, and I split my time between researching colour vision and trying to make academia more accessible, more efficient, and happier.
highlights: |
    - Learning about the project and [meeting Kirstie](https://github.com/the-turing-way/the-turing-way/blob/ebbaf8f5f3a66da441beafc690a1b16a9c50d15b/communications/newsletters/newsletter_08_Nov2019.md#acknowledgements-and-celebrations) during a rough patch in my PhD — learning about the project brought me hope for the future!
    - My [first issue](https://github.com/the-turing-way/the-turing-way/issues/1114) followed several small contributions and then [the first gnarly infrastructure PR](https://github.com/the-turing-way/the-turing-way/pull/2039) I made, which started my love(/hate)-affair with Jupyter Book.
    - Working with [Malvika](https://github.com/malvikasharan) to [rewrite the landing page](https://github.com/the-turing-way/the-turing-way/pull/1961) (particularly proud of _"Warning: Do not try to read the _The Turing Way_ from start to finish!"_)
    - [Learning how to build the book locally](https://web.archive.org/web/20221104150942/https://fosstodon.org/@da5nsy/108760121842868538) from [Sarah Gibson](https://book.the-turing-way.org/afterword/contributors-record.html#sarah-gibson) (and learning about miniconda in the process!) — a process which is now written up [here](https://book.the-turing-way.org/community-handbook/local-build.html#ch-local-build), but wasn't at the time, and so it felt like secret magic, and an infrastructure nerd's rite-of-passage.
    - Using that knowledge to finally [wipe all of the long-standing build warnings and errors](https://github.com/the-turing-way/the-turing-way/issues/2611) so that we could [implement CI to catch bugs before they were merged into main from then on](https://github.com/the-turing-way/the-turing-way/pull/2861)!
    - [Presenting at FOSS Backstage in Berlin](https://github.com/the-turing-way/the-turing-way/issues/2993#issuecomment-1629424116) with [Anne Lee Steele](https://github.com/aleesteele), on the subject of "maintenance" and ideas around transitioning from a small scrappy project to a long-term-sustainable project.
    - In 2023 I'm focusing on the more organisation-level infrastructure ([what tools do we use and why](https://github.com/the-turing-way/the-turing-way/issues/3218)?), and as part of that, I was proud to set up [the Turing Way's mastodon account](https://fosstodon.org/@turingway/108278354199514905).
---
:::

:::{profile} Denise Bianco
---
roles: |
    Book Dash Planning Committee 2024;
    Book Dash participant 2025
github: denisebianco
orcid: 0000-0002-8896-6189
bio: |
    I'm a Senior Research Community Manager at The Alan Turing Institute, currently working on a project called Advancing Biomedical Data Science Careers (ABDC).
    At the Institute, I'm also a co-organiser for the AI & Arts interest group, a cross-disciplinary community exploring the mutual influence of technological research and the arts.
    Alongside my roles at Turing, I'm a Ph.D. candidate and Associate Lecturer at Central Saint Martins, University of the Arts London.
    My research examines the evolving relationship between the arts and sciences as a model for transdisciplinary collaboration.
    Within the MA Innovation Management programme, I mentor students by offering creative perspectives and practical experience in applied innovation, guiding their research with insights in qualitative methods and cross-disciplinary collaboration processes.
highlights: |
    I always enjoy taking part in the Book Dash and working collaboratively with others who share similar interests to mine — or even completely different ones,  which allows me to learn so much! After three Book Dashes, I've built relationships with a really great community of people and have also improved my GitHub skills, especially for collaborative work.

    I contributed one chapter "Embedding Data Science Across Disciplines" (June 2024), co-authored with Gule Saman, which has been published.
    Two more chapters are in progress: "Lesson & Curriculum Development" (June 2024–Nov 2025), with Gule Saman and Thao Do, and a new sub-chapter on “Qualitative Pre-registered Reports” (Nov 2025) under the “Registered Reports” chapter, which I am developing with Emma Karoune and Giulia Tomba.
---
:::