Hello, I'm Ziyue Yin
A Data Science Student at Duke Kunshan University (DKU), passionate about AI, machine learning, and innovative solutions
About Me
I'm a passionate Data Science student pursuing a dual degree from Duke Kunshan University and Duke University (Class of 2026). My academic journey spans across data science, machine learning, and artificial intelligence.
With extensive research experience in speech enhancement, fake news detection, and large language models, I'm proficient in Python, machine learning frameworks, and data analysis. I'm currently maintaining a 3.806/4.0 GPA and have been recognized on the Dean's List.
Beyond academics, I'm actively involved in entrepreneurship and innovation initiatives, leading teams and coordinating high-impact events. I'm passionate about bridging technology and real-world applications.
3.81
GPA / 4.0
6+
Research Projects
2026
Graduation Year
Skills & Technologies
Programming Languages
AI & Machine Learning
Tools & Technologies
Languages
Education
Duke Kunshan University & Duke University
Dual Degree Program
2022 - 2026 (Expected)
B.S. in Data Science
Duke Kunshan University, Kunshan, China
B.S. in Interdisciplinary Studies: Data Science
Duke University, Durham, U.S.
Featured Projects
TrustNet: Fake News Detection
Leading a team to develop an AI model integrating text analysis for enhanced fake news detection, processing 10,000+ social media articles with optimized accuracy using TensorFlow & PyTorch.
Speech Enhancement with Audio-Visual Models
Research on real-time, low-latency speech conversion pipeline using compressed generative models for whisper and electro-laryngeal speech enhancement, exploring large generative models for zero-shot naturalness.
Large Language Models for Q&A
Developed a Retrieval Augmented Generation (RAG) pipeline integrating Llama3-8B for question-answering, achieving 21.4% improvement in Hit Rate and 12.9% in Context Recall through optimized hyperparameters and fine-tuned embedding models.
Multi-omics Data Analysis
Reconstructed genome-scale metabolic network for water-bloom cyanobacteria using KEGG reactions, processed large-scale transcriptomics data with Trinity, RSEM, and BLAST for identifying temporal metabolic shifts.
Dots Connected
Interests
Badminton
Love the thrill of competitive matches and the feeling of staying fit!
Table Tennis
Quick reflexes and strategic thinking - perfect for clearing my mind!
Singing
There's something magical about letting emotions flow through music
Piano
My go-to stress reliever - nothing beats the feeling of creating melodies
Blog Coming Soon!
Working on a space to share the little moments, big ideas, and everything in between. Coming soon!
Get In Touch
I'm always interested in new opportunities and collaborations. Feel free to reach out if you'd like to work together!