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: psgundla.com
• 📫 Reach me:

• CLAM - Heatmaps for attention visualization with clionical-task specific predictions

• TRIDENT - A comprehensive toolbox for the whole slide images projects with deep learning

• CellViT++: Vision Transformers for Spatial Omics - Adaptive nuclei segmentation for WSIs

• 278P Genetic subtype prediction in diffuse gliomas with a vision transformer-based model - ESMO RWD, 2025
• Tumor-initiating genetics and therapy drive divergent molecular evolution in IDH-mutant gliomas - medRxiv, 2025

• CellViT++: Vision Transformers for Spatial Omics

• Listen to music for ~9 hours/day (lofi + classical while debugging!)
• Travel enthusiast — recently in 🇩🇪 🇳🇱 🇮🇳 🇭🇺 🇸🇮 🇫🇷 🇮🇹
• Enjoys cafe hopping, organizing socials & mentoring