Publications: 'Are LLMs Truly Graph-Savvy? A Comprehensive Evaluation of Graph Generation' accepted at ACL 2025 - SRW; Preprint: 'From Occasional to Steady: Habit Formation Insights From a Comprehensive Fitness Study' available on ArXiv; Co-author: 'First public dataset to study 2023 Turkish general election' accepted by Scientific Reports.
Research Experience
Conducted research at DYNAMO Lab, focusing on designing symmetry-preserving, physics-aware systems; Worked as a research assistant at VRL Lab, investigating human behaviors and societal patterns; At Sabanci University, researched misinformation and propaganda campaigns on social media during the 2023 Turkish elections.
Education
PhD: University of California, Santa Barbara, Computer Science, supervised by Dr. Ambuj Singh; B.Sc.: Sabanci University, Computer Science and Engineering, graduated as valedictorian, supervised by Dr. Onur Varol.
Background
Research Interests: Machine Learning on Graphs, Symmetry and Equivariance, Representation Learning; Field: Computer Science; Background: PhD student in Computer Science at the University of California, Santa Barbara, focusing on machine learning for graph-structured data, with emphasis on symmetry/equivariance and representation learning.
Miscellany
Interests include Network Science, Computational Social Science, Causal Inference & ML for Social Good.