Dr. Mor Harchol Balter

Professor

Build a Statement of Purpose

Generate a tailored SOP for Dr. Mor Harchol Balter. Improve your application with a focused, well-structured draft.

Biography

Mor Harchol-Balter is a Professor in the Department of Computer Science at Carnegie Mellon University. She focuses on distributed systems, networking, performance modeling, and analysis, primarily emphasizing algorithms and complexity. With a rigorous mathematical approach, she explores the characteristics of computer systems to foster improvements in performance. Her research often challenges widely held beliefs within system design, particularly questioning the effectiveness of load balancing heuristics and the implications of job migration policies in distributed environments. Harchol-Balter's work involves both the derivation of theorems utilizing a spectrum of mathematical techniques, such as queueing theory and stochastic processes, and applying these principles in practical implementations for high-performance web servers and distributed computing systems. Her commitment to advancing the academic field is evident in her mentorship of students who are engaged in research spanning theoretical frameworks to practical applications in computer science.

Research Interests

Courses

15259 - Spring, 2026 15559 - Spring, 2026 15857 - Fall, 2025 15259 - Spring, 2025 15559 - Spring, 2025 15259 - Fall, 2024 15559 - Fall, 2024 15259 - Spring, 2024 15659 - Spring, 2024

Requirements for Carnegie Mellon University

Doctorate Program
Requirements
GPA Requirement
Required:3.5
GRE General
Verbal
Required:158
Quantitative
Required:149
Analytical Writing
Required:4
Overall
Required:4
Prerequisites
Bachelor's degree in Psychology or related field Research experience/publications
Application Checklist
  • Online application
  • Statement of Purpose
  • Three letters of recommendation
  • Transcripts
  • GRE scores (optional but reported in profile)
  • English Proficiency (TOEFL/IELTS/Duolingo)
Specialization Notes

Admission is extremely competitive with no strict GPA cut-offs; holistic review is used.