About Me
Hi! I’m Shuoyuan Gao, a graduate student in Biostatistics at the University of Michigan. I specialize in applying statistical modeling, machine learning, and data visualization to solve problems in healthcare, industry, and consulting.
🎓 Education
- M.S. in Biostatistics, University of Michigan (Expected May 2026)
- B.S. in Statistics, University of Illinois Urbana-Champaign (Aug 2021 – May 2024)
Minor in Economics | GPA: 3.70/4.00
💼 Experience
I have worked on projects spanning cancer genomics, medical imaging, and applied data science, including:
- STATCOM & Center for Success: Led a comprehensive program evaluation for a large-scale literacy mentoring initiative during the Fall 2025 semester. I synthesized multi-stakeholder feedback from students, mentors, families, and community partners into a strategic 54-page final report. My work focused on bridging quantitative Word-Cloud analysis with qualitative thematic coding to identify actionable growth strategies for program leadership.
- Cancer genomics: differential expression, unsupervised learning, and neural networks for biomarker discovery.
- Medical imaging: diffusion models for synthetic chest X-rays and classification pipelines.
- Shiny applications: dashboards for public health and industry datasets.
- Hangzhou Bank Internship: credit risk analytics, portfolio evaluation, and workflow optimization.
🛠️ Skills
- Programming & Databases: R, Python, SQL, SAS, Matlab, C++
- Tools & Frameworks: LoRA, ggplot2, Shiny, Tidyverse, Scikit-learn, Tableau, ggplot2 (Comparative Plots), Word Cloud Visualization, Cytoscape, GSEA
- Systems & Version Control: Bash, Linux, Git
- Languages: English (Advanced), Mandarin (Native)