Dr. Xingyuan Fang

Associate Professor

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Biography

Xingyuan Fang is an Associate Professor in the Department of Biostatistics & Bioinformatics at Duke University. He earned his Ph.D. from Princeton University in 2016. His research focuses on the application of statistical learning techniques and methodologies to biological data, particularly in translational biomedical research. Fang teaches advanced courses that include statistical inference and modern optimization, emphasizing real-world applications and computational techniques. He has contributed to a variety of projects that leverage biostatistical methods to enhance understanding of complex medical data and improve health outcomes. Fang is committed to mentoring students and collaborators in navigating the evolving landscape of biostatistics and bioinformatics.

Research Interests

Biostatistics Bioinformatics Statistical Learning Translational Biomedical Research

Experience

Associate Professor

2016-01-01 — Present

Duke University • Durham, NC

Teaching courses in biostatistics and related fields, focusing on statistical inference and optimization.

Courses

DECISION 899: Independent Study DECISION 614: Forecasting COMPSCI 590: Advanced Topics Computer Science COMPSCI 565: Modern Optimization BIOSTAT 906: Statistical Inference

Requirements for Duke University

Master Program
Requirements
GPA Requirement
Required:3.2
TOEFL
Listening
Required:22
Reading
Required:22
Writing
Required:24
Speaking
Required:26
Total
Required:90
IELTS
Overall
Required:7
Prerequisites
Multivariable Calculus Introduction to Physics (mechanics) Introduction to Chemistry
Application Checklist
  • Transcripts
  • Statement of Purpose
  • Three Letters of Recommendation
  • Resume/CV
  • Application Fee ($95)
  • Video Introduction
Specialization Notes

Department of Biomedical Engineering (MS program)