Dr. Kean Tang

Assistant Professor

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Biography

Kean Tang is a doctoral student at Umeå University, specializing in mathematical statistics and data-driven optimization. His research focuses on enhancing prehospital care through statistical modeling and machine learning techniques. With a strong foundation in mathematics, Kean aims to improve the efficiency and effectiveness of healthcare services. He is actively involved in research projects that span across various applications of machine learning in health statistics, addressing critical needs in emergency medical services.

Research Interests

Data-Driven Optimization Prehospital Care Statistics Machine Learning

Experience

Doctoral Student

2018-01-01 — 2028-12-31

Umeå University • Umeå, Sweden

Works on research projects related to statistical methods and machine learning in prehospital care.

Requirements for Umeå University

Master Program
Requirements
GPA Requirement
Required:2.5
IELTS
Listening
Required:5.5
Reading
Required:5.5
Writing
Required:5.5
Speaking
Required:5.5
Overall
Required:6.5
TOEFL
Writing
Required:20
Total
Required:90
PTE
Overall
Required:62
Prerequisites
Bachelor's degree (180 ECTS) in relevant field At least 90 ECTS in the main subject area
Application Checklist
  • Bachelor's degree certificate
  • Transcripts of records
  • Proof of English proficiency
  • Copy of passport
  • Letter of Motivation (certain programs)
  • CV (certain programs)
Specialization Notes

Requirements are standard for Master's programs across Social Sciences and Humanities at Umeå. English 6 proficiency is the general rule.