✨ My name is Ayyuce, and I'm a machine learning engineer and researcher. I hold a bachelor's degree in computer engineering. My research interests are graph-based multi-omics integration methods, prediction of cancer subtypes, drug discovery, and multimodal protein language models. Currently, I’m actively working on vision language models for medical image analysis. 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, Vision Transformers, Transformers, 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.
