Dr. John Paisley

Associate Professor

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Biography

John Paisley is an Associate Professor in the Department of Electrical Engineering at Columbia University since Fall 2013 and an affiliated faculty member of the Data Science Institute. He received B.S., M.S., and Ph.D. degrees in Electrical and Computer Engineering from Duke University in 2004, 2007, and 2010 respectively. He has worked as a postdoctoral researcher in the Computer Science departments at Princeton University and UC Berkeley, where he developed probabilistic models for large-scale text and image processing applications. His research interests focus on Bayesian models and posterior inference techniques to tackle big data problems, specifically in data analysis, exploration, recommendation systems, and information retrieval. He is particularly interested in compressed sensing and its applications in data-intensive domains.

Research Interests

Bayesian Models Posterior Inference Big Data Data Analysis Recommendation Systems Information Retrieval Compressed Sensing

Experience

Associate Professor

2013-09-01 — Present

Columbia University • New York, NY

Joined Department of Electrical Engineering and involved in Data Science research.

Requirements for Columbia University

Doctorate Program
Requirements
GPA Requirement
Required:3
TOEFL
Total
Required:100
IELTS
Overall
Required:7.5
Prerequisites
Bachelor's degree or international equivalent
Application Checklist
  • Online application
  • Transcripts
  • Statement of Academic Purpose
  • Personal Statement
  • Three letters of recommendation
  • CV or Resume
  • Application fee
Specialization Notes

Department of Anthropology (GSAS)