Hi — I’m Ismail Can Oguz, a computational materials scientist working at the intersection of machine learning and density functional theory (DFT) for electrocatalysis and energy materials.
I build ML-assisted workflows for (i) catalyst screening, (ii) structure–property modelling, and (iii) accelerating simulation → insight → design loops.
What I’m looking for#
I’m currently interested in roles such as:
- Research Scientist / Research Engineer (AI for Science, Materials)
- Computational Materials Scientist
- ML + Atomistic Simulation / DFT + ML positions
I enjoy projects where the goal is real scientific progress: robust data, reproducible pipelines, and models that help decide what to compute/measure next.
Core skills#
- Atomistic simulation: DFT workflows, surfaces/adsorption, thermochemistry concepts
- Machine learning: GNNs for atomistic systems, feature engineering, model evaluation, uncertainty-aware screening
- Scientific software: Python, ASE-style workflows, HPC/SLURM, reproducibility & automation
- Communication: publications, collaborative research, technical writing
Contact#
- Email: your.email@domain.com
- GitHub: https://github.com/yourusername
- LinkedIn: https://www.linkedin.com/in/yourhandle/
- ORCID: https://orcid.org/0000-0002-8673-7219