Dr. Amy Wilson

Instructor

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Biography

Amy Wilson is a lecturer with an industrial mathematics background, specializing in interdisciplinary applied statistics to solve problems for industry and government. Her work includes modeling extremes in energy capacity adequacy studies, assessing risks of shortfalls, and uncertainty quantification through Bayesian emulation and large-scale computer simulations. She focuses on decision-making under uncertainty in legal cases and energy policy, highlighting applications of statistics in law and energy systems. Amy has received the Edinburgh Mathematical Society Impact Prize in 2022 for her collaborative work on capacity adequacy studies with the National Grid. She has held postdoctoral positions at the Universities of Durham and Edinburgh, where she concentrated on statistical modeling of energy systems. Her PhD thesis at the University of Edinburgh dealt with statistical modeling for the evaluation of forensic evidence, particularly focusing on multivariate evidential data associated with traces of cocaine on banknotes. Amy is interested in supervising PhD students in her areas of research and is open to collaborations on statistical projects and knowledge exchange. She also engages in expert witness work and has experience in developing training materials for the legal and forensic science sectors.

Research Interests

Experience

Lecturer

2014-01-01 — Present

University of Edinburgh, School of Mathematics • Edinburgh, Scotland

Lecturer focusing on applied statistics and working collaboratively with industry and government.

Awards

#

Edinburgh Mathematical Society Impact Prize

2022-01-01

Requirements for University of Edinburgh

Master Program
Requirements
GPA Requirement
Required:3.25
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
Undergraduate degree in business, management, or related subject
Application Checklist
  • Academic transcripts
  • Personal statement
  • One academic reference
  • CV/Resume
Specialization Notes

Department of Marketing