John Maris
I’m a data scientist with a strong foundation in mathematics, statistics, and machine learning.
About
I’m a data scientist with a strong foundation in mathematics, statistics, and machine learning. My experience spans both industry and academia, including work at Toyota Motor Europe in Brussels, Belgium, applying data science in automotive contexts, and advancing state-of-the-art generative AI for protein engineering at FORTH-Hellas with Apple support. I hold a B.Sc. in Mathematics & Applied Mathematics and an M.Sc. in Data Science & Machine-Statistical Learning, graduating as Valedictorian. I specialize in deep learning, transformer-based generative models, and time series forecasting.
I focus on building robust, practical solutions that connect theory with real-world impact. I enjoy cross-disciplinary collaboration, mentoring, and communicating complex results to stakeholders and teams across organizations.
- 2 years' experience
- Joined November 2025
Languages
- EnglishFluent
- Greek, ModernFluent
- JapaneseBeginner
Industry experience
- Computers & Electronics
- Manufacturing
- Education
- Life Sciences
- Media & Entertainment
- Software & Internet
- Professional Services
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Work experience· 7 roles
Developed deep generative AI models (e.g., VAEs, GANs, and diffusion models) to generate new protein sequences targeting plastic degradation and antimicrobial resistance. Used DeepMind’s AlphaFold 3 to validate structural viability and Meta’s ESM to extract embeddings. Contributed to a scalable pipeline for AI-driven protein engineering.
Built a robust data-driven system for BEVs to predict energy consumption and forecast vehicle range using real-time big data and a mix of control signals and physical variables; successfully presented findings to senior leadership at Toyota Motor Corporation in Japan, contributing to product development insights.
Tutoring, lecturing, assigning and grading exams for large Master’s and undergraduate classes. Focused on machine learning and related topics.
Education
Certifications and awards· 5
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