Dr. Paul Jenkins

Professor

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Biography

Professor Paul Jenkins is a faculty member in the Department of Statistics at the University of Warwick. He specializes in various areas of statistical genetics, including Monte Carlo methods and mathematical population genetics. He is an active member of the Warwick Machine Learning Group, where he collaborates on research focused on Bayesian inference and statistical methodologies for interpreting complex genetic data. Jenkins teaches several courses, such as ST341 Statistical Genetics and ST407 Monte Carlo Methods, and supervises undergraduate and master's projects. His research interests prominently feature the application of machine learning techniques in population genetics, particularly in modeling evolutionary processes. He has published numerous papers in high-impact journals, contributing to both theoretical and applied statistics in genetics. Jenkins is known for his collaborative work and engagement within the academic community, having participated in various projects that explore non-neutral population models and genealogical processes. In addition to his teaching and research duties, he actively participates in undergraduate research schemes and is dedicated to advancing the understanding of statistical methodologies in genetics.

Research Interests

Experience

Professor

2012-01-01 — Present

Department of Statistics, University of Warwick • Coventry, United Kingdom

Professor in the Department of Statistics focusing on statistical genetics and Monte Carlo methods.

Courses

ST341 Statistical Genetics ST418 Statistical Genetics Advanced Topics ST407 Monte Carlo Methods

Requirements for University of Warwick

Master Program
Requirements
GPA Requirement
Required:2.1
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:6.5
TOEFL
Listening
Required:21
Reading
Required:22
Writing
Required:21
Speaking
Required:23
Total
Required:92
PTE
Listening
Required:59
Reading
Required:59
Writing
Required:59
Speaking
Required:59
Overall
Required:62
Duolingo
Overall Score
Required:120
Overall
Required:120
Prerequisites
Bachelor degree in Engineering or a related STEM discipline
Application Checklist
  • Online application form
  • Official transcripts
  • Degree certificate
  • Personal statement
  • One academic reference
  • CV/Resume
  • English language proficiency evidence
Specialization Notes

Includes General, Mechanical, Civil, Electrical, Biomedical, and Manufacturing Engineering. Most programs fall under English Band A.