Dr. Dobrin Marchev

Instructor

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Biography

Dobrin Marchev is a Lecturer in the Discipline of Statistics at the Data Science Institute, Columbia University. He has experience teaching advanced statistical modeling courses, including Statistical Inference Modeling. Professionally engaged in the realms of statistics and data analysis, Marchev contributes significantly to the academic community through his commitment to educating students in the field of data science. His teaching methodologies focus on practical applications of statistical theories and models, preparing students for real-world analytics challenges. In addition to his teaching responsibilities, he actively participates in departmental activities and collaborates with colleagues on research initiatives, enhancing the learning environment for his students. Marchev's work is centered around equipping future data scientists with the analytical skills necessary to thrive in an increasingly data-driven world.

Research Interests

Courses

Statistical Inference Modeling

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)