About Me
I am a final-year PhD student in the Materials Theory group at ETH Zürich, working with Prof. Nicola A. Spaldin and Prof. Claude Ederer. My research focuses on electronic phase transitions in correlated materials, combining condensed matter theory, materials science, and high-performance computing.
I enjoy solving complex problems through simulation and data, and I’m looking to apply these skills in data-driven or computational roles in industry.
Research Interests
I study metal-to-insulator transitions in correlated metal oxides such as vanadium dioxide, VO2. These materials exhibit rich electronic behavior and pose fundamental questions in condensed matter physics, with promising applications in low-power electronics and neuromorphic computing.
Education
-
PhD in Materials Theory
ETH Zürich, Switzerland
Aug 2021 – Expected Dec 2025
- Thesis: Tuning the Metal-Insulator Transition in VO₂ and Related Oxides
- First-principles simulations and HPC to study and engineer correlated materials
- Relevant coursework: Machine Learning, Big Data, Probabilistic AI
-
MSci Physics with Theoretical Physics
Imperial College London, UK
Sep 2017 – Jun 2021
- Thesis: B-anomalies at LHCb via the Bs → φ3 τ+ τ− decay -- using gradient boosted decision trees on CERN data
- Graduated with First-Class Honours; Dean’s List (Top 10%)
- Relevant coursework: Computational Physics, Statistical Mechanics, Complexity & Networks
Experience
-
Scientific Assistant, Materials Theory
ETH Zürich, Switzerland
Aug 2021 – Present
- Taught and coordinated Bachelor’s and Master’s level courses with 50+ students
- Supervised two Master’s projects and one Master’s thesis
- Maintained internal infrastructure (GitLab, software compilation on HPC clusters, tech support)
-
Research Assistant, Theory and Simulation of Materials
Imperial College London, UK
Jun 2019 – Sep 2020
- Performed large-scale quantum-mechanical simulations of magnetic effects in superalloys
- Worked on HPC infrastructure with custom scripts and automation
- Awarded the Faculty of Engineering UROP Award and the Henry Royce Institute UROP Award
-
Research Intern
GA Drilling, Bratislava, Slovakia
Jun 2018 – Sep 2018
- Contributed to feasibility analysis of a novel plasma-drilling concept (later implemented)
Skills
- Python
- R
- High-Performance Computing
- Linux / Bash
- Git / GitLab
- CI/CD
- SLURM
- DFT / Ab-initio Methods
- Data Analysis
- Machine Learning
- Big Data
- Probabilistic AI
Selected Projects
-
Under construction
Details coming soon!
- ...
- ...