Bernadett Vas
Skills
Timeline
Professional experience for Bernadett Vas
- 1 year and 6 months, Jul 2022 - Dec 2023
Research Associate in Deep Learning
AI Research Group at Eötvös Loránd University, Budapest
⋄ Collaborated with a team on accelerating material property predictions with deep learning ⋄ Designed and implemented graph neural networks in DGL ⋄ Improved predictive capability on small systems
- 1 year and 1 month, Jan 2022 - Jan 2023
Teacher Assistant for Deep Leearning and Data Mining courses
Eötvös Loránd University, Budapest
⋄ Supervised BSc and postgraduate AI student theses on deep learning applications in medical imaging, ⋄ Reviewed and evaluated homework assignments for 20 students of Data Mining course
- 1 year and 7 months, Jun 2021 - Dec 2022
Student Researcher in Computer Vision
AI Reserach Group at Eötvös Loránd University, Budapest
⋄ Conducted preprocessing, ordinal classification and segmentation of fundus images and analyzed predictive performance of models, ⋄ Trained, fine-tuned and optimized deep neural networks in PyTorch
Educational background for Bernadett Vas
- 6 months, Feb 2023 - Jul 2023
Data Science
Università degli Studi di Verona
Relevant work: • Developed a time series modeling with deep learning project on stock prices for the "AI and Finance" course, • Completed course on data warehousing and SQL concepts
- 2 years and 10 months, Sep 2021 - Jun 2024
Applied Mathematics
Eötvös Loránd University, Budapest
• Specialization in Computer Science, • Theoretical background in designing and analyzing algorithms, • Completed introductory courses in finance, • Thesis in generative modeling: VAEs in Neuroscience on natural images
- 2 years and 10 months, Sep 2018 - Jun 2021
Mathematics
Eötvös Loránd Tudományegyetem, Budapest
• Specialization in Applied Mathematics, • Thesis: Applying Normalizer-Free Neural Network (NFNet) to diabetic retinopathy image classification
Languages
English
C1 (Fluent)
German
A1-A2 (Basic)
Italian
A1-A2 (Basic)
Hungarian
C2 (Expert / native speaker)
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