Dr. Jay Emerson

Instructor

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Biography

Jay Emerson is an Adjunct Professor in the Department of Statistics and Data Science at Yale University. He serves as Co-Director of Graduate Studies and focuses on the intersection of statistical methods and data science. With a strong background in statistical methodologies, he specializes in Bayesian methods, bioinformatics, and statistical computing. His research interests also span graphical methods and classification, aligning closely with contemporary challenges in data analysis and interpretation in various scientific domains. With a commitment to academic excellence, he guides graduate students in developing their expertise in these fields, fostering a robust understanding of both theoretical and applied statistics.

Research Interests

Bayesian Methods Bioinformatics Statistical Computing Classification Graphical Methods

Experience

Adjunct Professor

2015-09-01 — Present

Yale University • New Haven, CT

Teaching graduate-level courses in Statistics and Data Science.

Requirements for Yale University

Doctorate Program
Requirements
GPA Requirement
Required:3.5
GRE General
TOEFL
Listening
Required:25
Speaking
Required:26
Total
Required:100
IELTS
Speaking
Required:7.5
Overall
Required:7
Prerequisites
Bachelor's degree in Engineering, Physics, Chemistry, Computer Science, or Mathematics
Application Checklist
  • Statement of academic purpose
  • Unofficial transcripts
  • Three letters of recommendation
  • Application fee ($105)
  • Resume/CV
Specialization Notes

Administered via the Graduate School of Arts and Sciences (GSAS). GRE General is optional for PhD.