## H

:::{profile} Hannah Nicholls
---
roles: |
    Book Dash Participant (2021)
github: hlnicholls
orcid: 0000-0002-3480-7852
bio: |
    I am a PhD student contributing to The Turing Way to develop writing about reproducible research practices. I have a BSc in biomedical science and a background in wet lab cardiovascular research. My PhD is in applying machine learning to prioritise most likely causal disease genes from genome-wide association studies.
highlights: |
    Collaborating with others to build something new as a contribution to The Turing Way, and collaborating with others to review and support their work. Understanding the inner workings of The Turing Way via navigating within its GitHub. Also I got to help and watch a really cool illustration being made!
quote: |
    Taking part in the Turing Way Book Dash was one of the first times I've done collaboratively work over an extended period of time and it was such a great experience! It allowed me to try out new skills and really build confidence in what I was doing, I feel really encouraged to continue contributing to The Turing Way!
---
:::


:::{profile} Heidi Seibold
---
roles: |
    Core Member (2020-2022);
    Book Dash Participant (2020)
github: HeidiSeibold
orcid: 0000-0002-8960-9642
bio: |
    I develop machine learning methods to figure out which patients react well to certain treatments and implement these methods in R.
    My passion for open and reproducible research has led me to join the Turing Way community. I am involved in meta-research projects (research about research), and I support, teach and contribute to open projects such as The Turing Way.
    My work for the *Journal of Statistical Software* includes reproducibility checks.
    We only publish papers which are fully computationally reproducible.
    I also work on making our machine-learning software more user-friendly, reusable and extensible.
    Together with a PhD student, I am thinking about how to use data from hospitals to help doctors and patients find the right treatment for each patient.
highlights: |
    I work in data science and open and reproducible research are the things I think and care about the most.
    So to me, it only made sense to get involved.
    Plus: the community seemed amazing!

    To me The Turing Way is a role model when it comes to collaborative, distributed work.
    I learned so much just by participating in the book sprint and seeing how Malvika, Kirstie and everyone else contributed to providing an extremely welcoming and at the same time productive space.
    I took what I learned and tried to apply it in other contexts such as teaching.
    I will continue to do so.

    The Turing Way also inspired me to think about new ways we could teach people about open and reproducible (data) science.
    I am currently thinking a lot about how we could use the content from The Turing Way and turn it into a course.
    This idea was also part of an application, where I proposed to start a new group on *Open AI*.

    Specifically, I have co-authored these chapters: [Research Compendia](https://book.the-turing-way.org/reproducible-research/compendia.html), [File Naming Convention](https://book.the-turing-way.org/project-design/info-management/filenaming/), and reviewed many contributions.

    I regularly recommend The Turing Way as a resource.
    Both for learning more about reproducible data science and also when discussing specific topics.
    I think that people are taking it on and reading it :)
more: |
    First, I would like to continue to help create content, review others' content and be helpful in any way I can.
    Sometimes I like to look at really old issues and pull requests for example.
    Reviving such old, often almost finished bits, is very rewarding.

    Apart from that I also have a bigger, long-term idea for The Turing Way.
    I personally am not a huge fan of reading.
    So books are not my favourite way to learn.
    In the past years, I learned a lot by listening to others in talks, podcasts, videos, and of course conversations.
    So for me, it is only a natural next step for The Turing Way to become more than a book.
    It could be an ecosystem, with the book as its basis.
    And -- if we decide to go that route -- I would like to be a part of it.
---
:::