Dr. Yang Han

Associate Professor

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Biography

Yang Han is an Associate Professor in the Department of Mathematics at the University of Manchester, where he joined as a Lecturer in September 2017. His expertise lies in multiple comparisons, simultaneous statistical inference, statistical machine learning, and personalized medicine. Yang is actively involved in teaching and has been recognized for his contributions to education, receiving the Distinguished Achievement Award for Teacher of the Year in 2019. He welcomes PhD applicants interested in the application of statistical methodology and offers insights into research areas tied to UN Sustainable Development Goals. With a significant focus on statistical inference and its applications, Yang aims to help students and researchers navigate complex statistical challenges relevant to modern data science and healthcare. His background includes leading various modules such as Statistical Theory and Regression Analysis, fostering a collaborative learning environment for students in advanced statistical methods.

Research Interests

Experience

Senior Lecturer

2017-09-01 — Present

University of Manchester • Manchester, England, UK

Teaching and conducting research in Statistics, focusing on multiple comparisons and statistical machine learning.

Awards

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Distinguished Achievement Award

Requirements for University of Manchester

Master Program
Requirements
GPA Requirement
Required:3.3
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:7
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:100
Prerequisites
Bachelor's degree in a relevant engineering or science subject Strong background in mathematics and physics
Application Checklist
  • Academic transcripts
  • Two academic references
  • Personal statement
  • CV/Resume
  • English language proficiency certificate
Specialization Notes

Includes MSc in Advanced Electrical Power Systems and MSc in Communications and Signal Processing.