Selected Work
Marie Dvorzak

Selected Work

Projects by category:

Webdesign & Webdevelopment:
1. The After Monument (2022)
2. Internationals in the city (2021)
3. Wild Wireframekit (2019)
4. Schwarz Brillen (2019)
5. Attention Lab (2020)
6. Funeral for Digital Data (2022)

Creative Computation:
1. 200.000.000 instructions x second (2021)
2. The After Monument (2022)
3. Internationals in the city (2021)
4. Accessible Deep Learning(2021)
5. Liquid Font (2021)
6. Three.js Soundvisualizations

1. 200.000.000 instructions x second (2021)
2. A matter of Accessiblity (2021)
3. The After Monument (2021)


Marie Dvorzak (b. 1996, Austria) is a designer and programmer with a focus on creative coding, design research, and the development of complex design systems. She recently completed the Information Design Masters Program in Eindhoven (NL) and is now working as a freelance designer and artist in her hometown, Vienna (AT). In the past five years, she had the opportunity to collaborate with a variety of designers, artists, and studios from all over Europe. 
Last updated: 08.2023

Accessible Deep Learning

T-SNE, or t-distributed stochastic neighbor embedding, is a dimensionality reduction algorithm that is especially useful for the analysis of genomic data, cancer research, and finding similarities in images. It was developed by Sam Roweis, Geoffrey Hinton, and Laurens van der Maaten in 2008. My implementation of the algorithm as a Three.js powered Vue.js plugin aimed to make the implementation of this data visualization easier and faster. The interface allows users to specify the visual outcomes of the algorithm, adjust the properties, and add HTML text labels to their images if needed. The project was developed as part of my Bachelor's thesis '3D-Programmierung im Web mit Vue.js Komponenten am Beispiel einer Implementierung des t-SNE Algorithmus' at the University of Applied Sciences Upper Austria in 2019.