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Master in Data Science · ETH Zurich
Sep 2025 – Jun 2027 (expected)
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GPA 6.0/6.0
- Teaching Assistant for Probabilistic AI (Fall 2025).
- ESOP Excellence Scholarship – ETH Foundation, Sep 2025.
- Coursework: Big Data, Mathematics of Data Science, Fundamentals of Mathematical Statistics, Machine Learning for Genomics, Advanced Machine Learning, Cloud Computing Architecture, Medical Image Analysis, Algorithmic Foundations of Data Science, Causality, AI for Sciences and Engineering, Data Science Lab, Law & Tech, and Seminar for Topics in Medical Machine Learning.
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Bachelor in Mathematics and Computer Science · École Polytechnique
Sep 2022 – Jun 2025
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GPA 4.29/4.3 · Valedictorian
- Exchange Semester at ETH Zurich, Department of Mathematics (Sep 2024 – Jan 2025) — GPA 6.0/6.0.
- L'X Foundation Excellence Scholarship, Sep 2022.
- Board of CS Committee and Math Committee; Communications Representative of Student Council.
- Coursework: Linear Algebra & Optimization, Analysis, Measure Theory, Algorithms, Probability & Statistics, ML, Concurrent & Distributed Computing, Differential Geometry, Random Matrix Theory, and more.
- Exchange coursework (ETH): Probabilistic AI, Linear & Combinatorial Optimization, Complex Analysis, Probability Theory.
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High School Diploma · European School of Bucharest
Sep 2018 – Jun 2022
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Grade 10/10 · Valedictorian
- Baccalaureate in Mathematics, Computer Science and Literature.