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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.…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.

John Maris

Data Scientist, AI Engineer, Data Analyst, +4

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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.…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.

Available to hire

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.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Greek, Modern

Fluent

Japanese

Beginner

Work Experience

Generative AI Engineer at FORTH - Hellas (IAC ML Lab)

July 1, 2025 - July 1, 2025

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.

Statistical Analyst at FORTH - Hellas (Intern)

July 1, 2023 - July 1, 2023

Built predictive models for biomedical datasets using regularized statistical methods. Developed automated tools for model selection and tuning. Improved reproducibility and interpretability in high-dimensional analysis across multiple research projects.

Teaching Assistant at University of Crete

June 1, 2024 - June 1, 2024

Tutoring, lecturing, assigning and grading exams for large Master’s and undergraduate classes. Focused on machine learning and related topics.

Data Scientist at Toyota Motor Europe (R&D) - Internship - Connected Powertrain

December 1, 2024 - June 1, 2025

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.

Generative AI Engineer at FORTH - Hellas (IACM Lab)

March 1, 2024 - July 1, 2025

Developed deep generative AI models (e.g., VAEs, GANs, diffusion models) to generate protein sequences targeting plastic degradation and antimicrobial resistance. Used AlphaFold 3 to validate structural viability and embeddings from Meta’s ESM; contributed to a scalable AI-driven protein engineering pipeline.

Statistical Analyst at FORTH - Hellas - Intern

December 1, 2022 - July 1, 2023

Built predictive models for biomedical datasets using regularized statistical methods; developed automated tools for model selection and tuning; improved reproducibility and interpretability in high-dimensional analyses across multiple research projects.

University Teaching Assistant at University of Crete

September 1, 2022 - June 1, 2024

Lectures, tutoring, assigning and grading exams; tutored large classes of Master’s and undergraduate students. Courses included Machine Learning (Postgraduate), Python, Computer Language, Introduction to Linear Algebra, Numerical Analysis.