✨ My name is Ayyuce, and I will soon join the Bozdag Lab at the University of North Texas as a Ph.D. student in Computer Science & Engineering. My research interests are graph-based multi-omics integration, prediction of cancer subtypes, and drug discovery. I’m interested in staying up-to-date with the novel research and techniques in my field. I enjoy learning new things and am always looking for new challenges and exploring innovative approaches.
🤖 Machine Learning: Convolutional Neural Networks, Graph Neural Networks, Vision Transformers, Transformers, Mamba, Multimodal Models, Large Language Models, Self-Supervised Learning, Contrastive Learning, Retrieval-Augmented Generation, Instruction Tuning, Reinforcement Learning from Human Feedback, Group Relative Policy Optimization
👩🏻💻 Programming Languages:
📚 Libraries and 🛠️ Tools:
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Google Developer Expert in Machine Learning
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Microsoft Turkey Women Leaders of Technology
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Google Developer Scholarship
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Google Get Ahead Program Attendee (Ranked 16 in the Code Jam competition)
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Spatial-attention ConvMixer architecture for classification and detection of gastrointestinal diseases using the Kvasir dataset, 2024 (https://link.springer.com/article/10.1007/s13755-024-00290-x)
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Generating Street Images with Bayesian Convolutional GAN (DOI: http://doi.org/10.13140/RG.2.2.26809.90723)
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Generation of Synthetic Lung Cancer Histopathological Images using Generative Adversarial Networks, PyTorch Developer Day 2021
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Comparing Tensor Processing Unit and CPU Performance for Image Classification, Journal of Computer Science and Technologies, 2020.
