Hi! I’m Yuanyun Zhang, a master’s student at the University of Chinese Academy of Sciences, specializing in Health AI and Machine Learning. My research focuses on applying AI to healthcare, particularly in medical diagnostics, clinical decision support, and patient outcome prediction.
I’m deeply passionate about the intersection of AI and healthcare—leveraging data-driven techniques to create impactful solutions that improve medical practices and patient care.
- Health AI 🏥: Using machine learning for clinical decision-making
- Medical Data Analysis 📊: Working with EHRs, medical imaging, and genomic data
- Interpretable AI 🤖: Ensuring model transparency and fairness in healthcare
- Deep Learning & NLP 🧠: Extracting insights from unstructured medical data
I’m currently seeking PhD opportunities in the U.S. where I can:
✅ Conduct cutting-edge research in AI for healthcare
✅ Collaborate with interdisciplinary teams
✅ Develop AI models that are trustworthy, scalable, and clinically applicable
- Machine Learning: TensorFlow, PyTorch, Scikit-learn
- Data Science: Pandas, NumPy, SciPy
- Programming: Python, SQL
- Medical Data: Electronic Health Records (EHRs), Medical Imaging (DICOM), Genomics
- Email: [email protected]
- GitHub: yuanyunzhang81
Let’s connect and collaborate! 🚀