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2025 Agentic AI Innovation Challenge: Received the Most Innovative Project Award, selected from over 675+ submissions across 70+ countries, with an award acceptance rate of less than 6%.
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2025 LIVE AI Ivy Plus Duke & Harvard Hackathon:๐ Global Entry Awards: 1st Global Grand Prize (Gold), AI & ML 1st Place, Best Development, Best Product; and ๐ Duke Campus Entry Awards: Gold Prize, AI/ML 1st Place, Best Product Design, Best Product Demo.
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Computer Vision Projects Expo 2024: honored with the Most Engaging Presentation Award with over 500 submissions from researchers and professionals worldwide and an award acceptance rate of just 6%.
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Duke AI Hackathon 2024: Secured the 2nd Grand Prize and the Best Art, Media & Design Prize with our innovative product, Bobcat: Your AI Companion That Sings Your Story.
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ASA DataFest 2024: Outperformed 245 participants across 67 teams to win the Best Visualization Award with the project From 'Hello World' to Beyond: An Analysis of Statistical & Data Science Learning Journey.
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Travelers Analytics and Modeling Competition 2023: Achieved a Top-3 finish among 22 teams from 7 leading U.S. universities with the project Insnova Auto Claim Case Study.
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Alzheimerโs & Dementia (Impact Factor: 13): Published first-author paper titled Topological and geometric signatures of brain network dynamics in Alzheimer's disease.
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Duke 2025 Fortin Foundation Bass Connections Showcase: Presented the research titled Analyzing Alzheimer's Biomarkers Through Dynamic Brain Topology.
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Duke 2025 Responsible AI Symposium: Presented the research titled Explainable Deep Learning for Pneumonia Detection in Medical Imaging.
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International Day of Women in Statistics and Data Science (IDWSDS) 2024 Conference: Presented the research titled Examining the Impact of Image Preprocessing on Diabetic Retinopathy Detection: A Cross-Dataset Analysis with Varied Camera Sources.
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2022 NYU Inquiry: A Journal of Undergraduate Research: Featured the IR senior honor research titled The Impact of E-Commerce on China's Rural Poverty.
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2022 Pi Sigma Alpha National Student Research Conference: Presented the research titled The Impact of Chinese Government Policy on the Survival of China's SMEs during COVID-19.
๐ Hello! I'm a passionate data scientist with a strong focus on machine learning, deep learning, and cutting-edge technologies like natural language processing (NLP) and computer vision. My work revolves around developing models that leverage structured and unstructured data to drive insights, automate decision-making, and solve real-world problems.
๐ I'm experienced in using popular frameworks such as TensorFlow, PyTorch, and Hugging Face to build and fine-tune models, whether itโs for image classification, object detection, large language models, or large-scale data analytics in the cloud. From deploying models to cloud platforms like AWS and Azure to handling large datasets, I enjoy the end-to-end machine learning pipeline.
๐ When Iโm not working on model training or optimization, Iโm diving deep into data exploration, creating data visualizations, and sharing code snippets related to computer vision, NLP, and LLM-based solutions. Iโm also a big advocate for open-source projects and collaboration within the data science community.
๐ซ Feel free to reach out at: tina.yi@duke.edu / ly178@duke.edu
๐ Learn more about my experience: LinkedIn Profile
๐ฑ Letโs connect and collaborate in the exciting fields of machine learning, deep learning, and cloud AI. Explore my repositories and feel free to reach out for discussions on everything from LLMs to computer vision!
๐ Data Scientist | ML & Deep Learning Enthusiast | NLP & Computer Vision Specialist | Cloud Computing | Open-Source Advocate | Lifelong Learner ๐

