About me
Recent PhD graduate in experimental particle physics from UCLouvain and CERN (CMS).
Projects and portfolio
- Transformer Classifier: a PyTorch transformer-encoder-based model for signal/background classification in HH → bbWW. GitHub
- XGBoost Classifier: an XGBoost workflow for HH → bbWW event classification. GitHub
- DY background estimation with adversary Variational Autoencoder (VAE): a prototype for data-driven background estimation using a VAE to learn latent representations of control region data. GitHub
- Check my github repositories for more: https://github.com/Oguz-Guzel?tab=repositories
Theses
PhD: From Collisions to Predictions: Search for Non-Resonant Higgs Boson Pair Production in the Fully Leptonic bbWW Final State using CMS Run 3 Data, https://repository.cern/records/6yra5-d9w35.
MSc: Prospects of Nonresonant Higgs Boson Pair Production Measurement in the WWgg Channel at the HL-LHC with the Phase-II CMS Detector (Snowmass analysis), https://repository.cern/records/gtq7e-y1j18.
Talks and presentations
Selected presentations that bridge technical model work and data-driven physics analysis:
- “EFT interpretations in the Higgs sector at the CMS experiment” — DIS2024, Grenoble, FRANCE. Details
- “Higgs self-coupling measurements at the CMS experiment” — PASCOS 2024, Quy Nhon, VIETNAM. Program
Teaching and mentoring
- Mentored junior researchers on ML model development, data analysis techniques, and reproducible research practices in the context of particle physics.
- Physics lab tutor, electromagnetism course at Istanbul Technical University. Supported undergraduate lab training, experiment setup, and data analysis practice.
Publications
I maintain a curated publications page for selected CMS contributions and point to the broader collaboration list for full context.
- Selected publications: /publications/
- Full CMS publications: cms-results.web.cern.ch
Education
- PhD in Physics, UCLouvain — 2026
- MSc in Physics, Istanbul Technical University — 2022
- BSc in Astronautical Engineering, Istanbul Technical University — 2019
Skills
- Python, PyTorch, NumPy, pandas, transformer architectures
- Data analysis and Machine learning
- Docker, CI/CD, scalable data pipelines, reproducible tooling
- Clear technical communication, cross-team collaboration, mentoring
Online
See sidebar on the left.