Open WIN Ambassadors 2022-2023 (left-right): Peter Doohan; Miguel Farinha; Julian Fars; Lisa Spiering; Mohamed Tachrount.
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### Peter Doohan
Peter is a DPhil Student in the Nuffiled Department of Clinical Neuroscience.
*"I want to applied to be an Open WIN Ambassador to help connect researchers across WIN, Oxford and the global neuroscience community to maximise the impact of the science done at WIN."*
### Miguel Farinha
Miguel is a DPhil Student in the Department of Psychiatry.
*"As an avid user of open-source software/data, I am very enthusiastic about the possibility of contributing to the widespread use of open research practices across the WIN community and the wider scientific community. "*
### Julian Fars
Julian is a Postdoctoral Researcher in the Nuffiled Department of Clinical Neuroscience. More about Julian on their [WIN profile page](https://www.win.ox.ac.uk/people/julien-fars)
*"I always wanted to make my analyses, data and experiment freely accessible for other research teams. Making is easy for others to reproduce my results are extremely important. "*
### Lisa Spiering
Lisa is a DPhil Student in the Department of Expereimental Psychology. More about Lisa on her [Department profile page](https://www.psy.ox.ac.uk/people/lisa-spiering)
*"I am very keen to learn more about the Open WIN tools that are available to us at WIN in order to make our research more transparent and replicable. I am also interested in learning more about how to promote an open and inclusive research culture. I've noticed that more researchers in my lab are interested in making their projects more transparent and open; so I am hoping that by becoming an Ambassador I can also help others to be more proficient in open science practices."*
### Mohamed Tachrount
Mohamed is a Senior Physics Support Scientist (Clinical and Pre-clinical) in the Nuffiled Department of Clinical Neuroscience. More about Mohammed in his [Department profile page](https://www.ndcn.ox.ac.uk/team/mohamed-tachrount)
*"I would like to learn how to make our scientific research more transparent, accessible, reproducible, and robust so any experiment (including protocols and data) can be checked, replicated, and extended by the community."*