Hi, I am Adina

Adina

Doctoral Researcher at Psychoinformatics Lab, INM-7, Juelich Research Centre

I am a passionate scientist, open science advocate, and research data management enthusiast. I develop tools and resources for reproducible, open, and FAIR neuroscience, teach data management practices and tools, and pursue a PhD in Neuroinformatics.

Open Science
Open Source
Open Data

Skills

Version control
Version control

Proficient in local and collaborative version control workflows with Git and git-annex, experience with repository-hosting services such as GitHub, GitLab, and Gin.

Data management
Data management

Documenting, developing, using, and teaching FAIR and scalable data management skills with DataLad.

Reproducible science
Reproducible science

Share fully reproducible digital research objects (data, code, results, software, provenance).

Software containers
Software containers

Building and using containerized software, Docker and Singularity.

Python
Python

Experience in generic scripting and programming with Python for research software engineering, data science, neuroimaging (NumPy, pandas, sklearn, matplotlib, pyplot, seaborn, pymvpa, nibabel, nipype, fmriprep, fitlins, pybids,…), continuous integration, unit testing, Python packaging, some debugging experience.

Linux
Linux

Using as the main operating system (Debian). Capable of writing bash/shell scripts and using major command line tools.

Miscellaneous tools
Miscellaneous tools

Text editors: LaTeX, vim, pycharm; Graphics: Inkscape, Gimp, Adobe Photoshop; technical writing: Sphinx, readthedocs, building static websites with hugo, Other (statistical) programming languages: HTML, R, STATA, SPSS.

Technical writing
Technical writing

I have extensive experience in creating accessible user documentation for complex software tools.

Experiences

1
Psychoinformatics Lab
Doctoral Researcher

Apr 2019 - Present, Juelich Research Centre

PhD in neuroinformatics with responsibilities in research, teaching, and open source software development.

Soft skills and hard skills:
  • Programming & Scripting – Proficient in Python, shell/bash & R, research software engineering
  • Software tools & Skills – Experience with a broad range of tools, from Unix and its common tools over software containers (Singularity, Docker), Version control and data management (git, git-annex, DataLad; GitHub, GitLab), to open source tools (LaTeX, reveal.js, Inkscape, Gimp, Sphinx, Readthedocs, …)
  • Teaching – data management, version control, reproducible neuroimaging.
  • Technical and Scientific Writing – Software documentation (e.g., The DataLad Handbook), scientific publications
  • Interpersonal and soft skills – Project management (software and science), presenting and teaching, community management, scicomm
Psychoinformatics Lab
Teaching assistent statistics

Oct 2017 - July 2018 , Otto-von-Guericke University Magdeburg

Self-responsible conception and implementation of 3 hours of weekly statistics tutoring, tailored to the lecture. Initiated, planned and conducted evaluation of own teaching concept with results showing statistically significant, mostly gender-independent improvements in statistics related attitudes andexpectations among students.

Soft skills and hard skills:
  • Teaching – statistical concepts and data analysis in R.
  • Software tools and skills – Jupyter Notebooks and Jupyter Hub, reveal.js, R, RStudio.
  • Interpersonal and soft skills – Tutoring/Teaching, exam development and evaluation, how to create or find funny memes about statistics
2
3
Jugendbildung in Gesellschaft und Wissenschaft (JGW)
Lecturer

Jul 2018 - Aug 2018 , Papenburg, Germany

Lecturer in a summer school for gifted students, taught a course on neuropsychology.

Soft skills and hard skills:
  • Teaching – Fundamental and advanced topics in neuropsychology
  • Interpersonal and soft skills – Teaching for the physically disabled (deafness)
Clinic for Neurology, Klinikum Braunschweig
Research Associate

Oct 2016 - Oct 2018 , Braunschweig, Germany

Development and implementation of a patient study to evaluate validity of the IQCODE as a measure for early detection of Alzheimers Disease.

Soft skills and hard skills:
  • Software tools and skills – Statistical analsis in Python and R.
  • Interpersonal and soft skills – Ethics in science, grant and ethic approval writing, study conception and implementation, progress reporting, neuropsychological assesment in neurological patients, how to endure overly arrogant head physicians.
4
5
Otto-von-Guericke University
Master of Science, Clinical Neuroscience

Oct 2016 - Feb 2019 , Magdeburg, Germany

graduated with honors (1.1, ECTS A, among 10% best)

Soft skills and hard skills:
  • Electives – systemic counseling, empirical economic research
  • Interpersonal and soft skills – how to commute 200km daily via train and still get a degree
Dartmouth College, US
Research stay - Dartmouth College

Sep 2018 - Feb 2019 , United States

Soft skills and hard skills:
  • Software tools and skills – Neuroimaging analyses (FSL, nipype, fmriprep, fitlins, pymvpa, Docker), unit testing, continous integration, Python packaging, debugging
  • Interpersonal and soft skills – How to survive in the deserted loneliness of Hanover, New Hampshire, in Winter, without developing a drinking problem. Also, how to buy Rum with 160 proof.
6
7
Technical University Braunschweig
Bachelor of Science, Psychology

Oct 2012 - Apr 2016 , Braunschweig, Germany

graduated with honors (1.2, ECTS A, among 10% best)

Soft skills and hard skills:
  • Electives – Neuropsychology, forensic psychology, counseling psychology, rehabilitation psychology
  • Software tools and skills – SPSS, R, LaTeX
  • Teaching – children’s university 2013
Cambridge University, UK
Research stay - Cambridge

Sep 2014 - Apr 2015 , United Kingdom

Soft skills and hard skills:
  • Software tools and skills – R
  • Interpersonal and soft skills – Experiment design in animal research (corvids), how to not freeze while observing birds in British Winter outside, how to get used to everything tasting like vinegar.
8

Projects

The DataLad Handbook
The DataLad Handbook
Project Lead July 2019 - Present

Accessible and extensive workflow-based user documentation for data management with DataLad. doi.org/10.5281/zenodo.3905791

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Multimatch-gaze
Multimatch-gaze
Developer 2018/19

An Open Source algorithm for scan path comparisons for eye tracking data, ported into Python from a Matlab toolbox. joss.theoj.org/papers/10.21105/joss.01525

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REMoDNaV
REMoDNaV
Co-author 2020

An Open Source algorithm for eye movement classification for eye tracking data. Fully reproducible paper at github.com/psychoinformatics-de/paper-remodnav.

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didwegivecredit
didwegivecredit
Developer 2020

Small linter to check whether contributors to a repository are acknowledged with the all-contributors bot.

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Recent Posts

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Writing a reproducible paper

Its not immediately straightforward how to not only share code and data easily, but also allow others to build your complete scientific manuscript from scratch. But it can be easy if you know how. One way it can be done is using DataLad, LaTeX, and Makefiles. The result is a publicly shared GitHub repository that allows a complete recomputation and manuscript regeneration with a single command: github.com/psychoinformatics-de/paper-remodnav. Read about the details in complete write-up in the DataLad Handbook and slides from a presentation about it.

June 8, 2019 Read

Achievements

ReproNim/INCF Fellowship 2020/21

Graduations

Erasmus+ (2014/15)

German Academic Foundation (2013-2019)