PhD Researcher · Computational Oncology
Computational oncology · Spatial · Multi-omics
I am a PhD student in the Kocakavuk Lab studying adult diffuse gliomas through histopathology and molecular data. My work connects genotype with phenotype and turns multimodal data into reproducible computational workflows.
- Build deep-learning models for whole-slide images and cancer subtype prediction
- Integrate transcriptomic, genomic, and imaging data
- Align H&E images with Xenium spatial transcriptomics for cell-level analysis
- Develop feature-extraction pipelines for spatial and molecular profiling
- Make analyses reproducible with containers and HPC infrastructure
Vision Transformer study of genetic subtype prediction in diffuse gliomas.
ESMO Real World Data and Digital Oncology, 2025
Study of therapy-linked molecular evolution in IDH-mutant gliomas.
bioRxiv, 2025
Nuclei segmentation for whole-slide imaging and spatial-omics workflows.
AI and imaging
Research computing
Methods: computational pathology · spatial profiling · algorithms
Open to collaboration on glioma research, computational pathology, multimodal learning, and reproducible analysis pipelines.
Lofi and classical music, travel, cafe hopping, community events, and mentoring.