Jaume Ros
Data scientist and engineer, specializing in computer graphics.
Welcome to my website :)
Hi! I'm
About Me
I am a data scientist and engineer with a strong background in mathematics and computer graphics.
I’m currently a PhD student at the Eindhoven University of Technology, researching into the field of Prescrictive Visual Analytics.
These are some of my skills:
- Data science: Python, R
- Machine learning: PyTorch, OpenCV, Scikit
- Computer graphics: Blender, Unity, OpenGL
- Linux: Yes, I use Vim and I’ll choose anything scriptable over the prettiest GUI
- High-performance computing: C++, OpenMP, CUDA
- Web development (mostly frontend): React, Tailwind CSS, Astro
Featured projects
SENDA
A system to generate realistic and difficulty-graded hiking trail networks on top of terrain surfaces.
July 2024
Virtuwheel
A 3D driving game where the player controls the steering with camera-tracked arm movements.
December 2023
Meme template extractor
End-to-end Deep Learning model that cleans the text off a meme image to obtain the original template.
June 2021
Check out the full list of projects in the Project Gallery.
Experience
Currently pursuing my PhD at the Visualization Cluster of the Eindhoven University of Technology, in the Netherlands. Doing research in the field of Prescrivtive Visual Analytics.
I was a part-time assistant researcher at the Research Center for Visualization, Virtual Reality and Graphics Interaction. Working in the SENDA project, where the goal is analyze the impact of human hiking activity on the natural environment, the task I worked on (also my Master’s thesis) consisted in the creation of realistic hiking trail networks from Digital Elevation Models.
I successfully completed a 900h intership and received a job offer to continue developing my work.
- Main developer of a real-time viewer for compressed image data encoded in Ethernet packets.
- Assistant to the web team for the development of hardware traceability apps.
- Built BI interactive dashboards to monitor client orders and hardware traceability.
I collaborated with the Signal Theory and Communications Department from the Polytechnic University of Catalonia to implement several Reinforcement Learning algorithms, for didactic purposes and use on future research projects.
My colleagues and I implementated a specialized image processing program to automatically analyze and diagnose Zebrafish larvae. Using low-level Python modules for file processing, scikit-learn and other Machine Learning modules for segmentation, PyTorch for classification through Deep Learning, and Vue.js and Flask for building the Graphical User Interface.
My main tasks were in the development of the Python backbone for image and video processing and implementing the low-level real-time segmentation algorithms.
Education
2022-2024
Master's degree in Innovation and Research in Informatics
Universitat Politècnica de Catalunya
Grade:
9.33 out of 10
A 2-year master’s degree in the Barcelona School of Informatics. Taking the specialization in Computer Graphics and Virtual Reality.
My master’s thesis about the procedural generation of hiking trail networks obtained a grade of 10/10 with honors.
2022
Bachelor's thesis
Dublin City University
Grade:
9.2 out of 10
Final thesis on Deep Multimodal Steganography developed at Dublin City University.
2018-2022
Bachelor's degree in Data Science and Engineering
Universitat Politècnica de Catalunya
Grade:
8.92 out of 10 (top 5 of my class)
A 4-year bachelor’s degree jointly taught in the Barcelona School of Informatics, the Barcelona School of Telecommunications and Engineering and the School of Mathematics and Statistics.
Awards
Get in Touch
Found a bug in a project? Have a question? Just want to say hi? My inbox is always open!