Dr. Trevor Campbell

Associate Professor

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Biography

Trevor Campbell is an Associate Professor in the Department of Statistics at the University of British Columbia, specializing in scalable Bayesian inference algorithms, Bayesian nonparametrics, and the analysis of streaming data. His research addresses foundational aspects of Bayesian theory while developing algorithmic approaches to improve efficiency and applicability. Trevor completed his Ph.D. and has previously worked as a postdoctoral associate at MIT's CSAIL and IDSS, further honing his expertise in the intersection of computer science and statistics. His teaching portfolio includes comprehensive courses on statistical inference, data science, and Bayesian modeling, and he actively contributes to the academic community through publications and mentorship of graduate and undergraduate students.

Research Interests

Bayesian Inference Bayesian Nonparametrics Scalable Algorithms Streaming Data Bayesian Theory

Requirements for University of British Columbia

Master Program
Requirements
GPA Requirement
Required:3.3
IELTS
Listening
Required:6.5
Reading
Required:6.5
Writing
Required:6.5
Speaking
Required:6.5
Overall
Required:7
TOEFL
Listening
Required:22
Reading
Required:22
Writing
Required:21
Speaking
Required:21
Total
Required:100
Prerequisites
Bachelor's degree in Philosophy or related field 3 credits in formal logic 6 credits at the upper level in history of philosophy 3 credits at the upper level in ethics or value theory 6 credits at the upper level in metaphysics, epistemology, or philosophy of science
Application Checklist
  • Online application form
  • Application fee
  • Transcripts from all post-secondary institutions
  • Three letters of recommendation
  • Writing sample (15-20 pages)
  • Statement of intent
  • Evidence of English language proficiency
Specialization Notes

Offers course-only and thesis routes. Focus areas include philosophy of science, mind, ethics, and Asian philosophy.