Çerağ Oğuztüzün
PhD candidate in Computer Science applying AI to biology and medicine
Summary
Work
Education
Projects
Writing
Precision Drug Repurposing (PDR): Patient-level modeling and prediction combining foundational knowledge graph with biobank data
January 1, 2025Introduces a Precision Drug Repurposing framework that integrates individual-level biobank data (PRS, biomarker expressions, medical history) with a foundational biomedical knowledge graph to enable patient-level drug repurposing; evaluated using Alzheimer's disease case studies and UK Biobank data.
Tokenvizz: GraphRAG-Inspired Tokenization Tool for Genomic Data Discovery and Visualization (preprint)
December 1, 2024Preprint describing Tokenvizz, a graph-based tokenizer and visualization tool for genomic sequences that uses attention scores to construct graphs and supports interactive exploration of sequence relationships.
Leveraging Disease-Specific Topologies and Counterfactual Relationships in Knowledge Graphs for Inductive Reasoning in Drug Repurposing
January 1, 2024NeurIPS AIDrugX workshop spotlight paper presenting KGɪA, a disease-aware graph augmentation method that uses counterfactual relationships and disease-specific topologies to improve inductive reasoning for drug repurposing.
Characterizing Disparities in the Treatment of Intimate Partner Violence
January 1, 2023AMIA Joint Summits proceedings paper presenting a computational and statistical meta-regression framework to characterize demographic and social disparities in IPV treatment outcomes.
MotifGenie: a Python application for searching transcription factor binding sequences using ChIP-Seq datasets
January 1, 2021Bioinformatics application paper describing MotifGenie, a tool for integrative motif analysis across multiple ChIP-Seq experiments.