I’m currently a PhD student in the Kocakavuk Lab working on Computational Oncology with a focus on:
- Building genotype-to-phenotype relationships in Adult Diffuse Gliomas
- Using Whole Slide Images (WSIs) and multi-omics data for tumor subtyping
- Developing deep learning pipelines for spatial and molecular profiling
- Implementing deep learning models on WSIs for cancer subtype prediction
- Learning feature extraction methods from histopathological images
- Integrating transcriptomics, genomics, and imaging data
- Improving documentation, reproducibility, and scientific communication
- Developing reproducible pipelines using containers and HPC infrastructure
- 👯 I’m looking to collaborate in glioma research using deep learning
- 🤔 I’m seeking input on advanced DL techniques in computational pathology
- ✨ Portfolio: BioCodeR.io
- 📫 Reach me:
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CLAM - Heatmaps for attention visualization with clionical-task specific predictions
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TRIDENT - A comprehensive toolbox for the whole slide images projects with deep learning
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CellViT++: Vision Transformers for Spatial Omics - Adaptive nuclei segmentation for WSIs
- Tumor-initiating genetics and therapy drive divergent molecular evolution in IDH-mutant gliomas - medRxiv, 2025
- Listen to music for ~9 hours/day (lofi + classical while debugging!)
- Travel enthusiast — recently in 🇳🇱, 🇫🇷, and 🇩🇪
- Enjoy organizing research socials & mentoring junior scientists
