Current:

 

• From July 2019, Doctoral Research Fellow, Lise Meitner Group for Environmental Neuroscience, PI: Prof. Simone Kühn, Max Planck Institute for Human Development.

• Exploration of the mental representation of naturalness, individual concepts of nature and their role in restorativeness of environments. Conference talk, International Conference on Environmental Psychology (ICEP 2021); Teatro Comunale, Siracusa, Italy; October 5th – 8th 2021

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Current Research Projects:

• Neural correlates & multivariate analysis of perception of naturalness in indoor architecture. ​

• Nature Gradient: dimensions & dynamics underlying subjective environmental judgements.

• BANDIT-VR: cognitive effects & neural activity of access to a diverse view from window. 

• Symmetry:  impact of symmetry on cognitive processing of the environment. 

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For details of my publications please visit my ResearchGate profile.

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Technical Skills

• Languages: 

  • English, Polish – bilingual

  • Russian – B2 intermediate

  • French A2 (learning) 

  • Arabic – A2 

  • German – basic 

• Basic software packages:

  • MS Excel, MS Access (including Macro development), MS Word, MS Power Point, MS Outlook– Advanced, 

  • Adobe Acrobat Pro, Adobe InDesign, Adobe Illustrator – Advanced

  • Adobe Dreamweaver, Adobe Muse – basic HTML and CSS skills

  • Oracle could.

• Advanced computational & data software:​

  • MatLab

  • JASP

  • Scikit-learn, tensorflow, keras.

  • R packages

  • ImageJ

• Programming languages:

  • Matlab

  • Python

  • JAVA (beginner)

  • C++ (beginner)

• Brain imaging methods: fMRI, fNIRS, EEG.

• Brain imaging analysis: univariate & multivariate methods using following software (not limited to): SPM, FSL, Freesurfer, fmriprep, Nilearn, pyMVPA, rsa-toolbox. 

• Eye-tracking.

• VR: including paradigm & equipment preparation, experimental setup using Unity, interface with fNIRS/EEG and biophysical measurement. 

• Bio-physical measurements & analysis of variability. 

• High Computing Clusters - parallel analysis and container deployment (singularity + docker).

• Machine learning: supervised learning (set up & deployment) including SVMs; unsupervised learning: k-clustering; reinforced learning including setup of agent-based experiment.

• Neural computation - single-neuron models, pattern analysis, simple neural networks models. 

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Soft skills 

I have effective communication skills that I can apply in different working settings. In conjunction with my well developed diplomatic and problem-solving abilities, it is possible for me to mediate through potential difficulties and obstacles. I value clear and transparent communication as an effective tool of team work. My organisational skills are highly valued. I believe that good organisation is a key to successful research projects, potentially impacting its efficiency and effectiveness. My leadership skills were developed & tested over the years within professional setting. I am valued for my ability to assume responsibilities of leadership and effectively build a team and collectively work toward set out goals. 

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