Dr. Feng Liang

Professor

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Biography

Feng Liang is a Professor in the Department of Statistics at the University of Illinois at Urbana-Champaign. His research focuses primarily on Bayesian statistics, statistical learning, and information theory. With a strong background in statistical methodologies and applications, he has contributed significantly to the advancement of these fields through both teaching and research. Liang's work includes developing new statistical models and methods that leverage Bayesian approaches to address complex data analysis problems. His commitment to education and mentoring has helped foster the next generation of statisticians and data scientists at one of the leading institutions in statistical learning and theory. He is actively involved in various research projects and collaborations that extend the applications of statistical principles across different domains.

Research Interests

Requirements for University of Illinois

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:7
Reading
Required:7
Writing
Required:7
Speaking
Required:7
Overall
Required:7.5
TOEFL
Listening
Required:17
Reading
Required:19
Writing
Required:21
Speaking
Required:20
Total
Required:103
GRE General
Prerequisites
Mathematical background Linear Algebra Calculus
Application Checklist
  • Online application
  • Unofficial transcripts
  • 3 Letters of Recommendation
  • Academic Statement of Purpose
  • Resume/CV
Specialization Notes

GRE is optional for admission to all graduate programs in Statistics. Full status admission requires higher language scores than limited status.