Dr. Luis Rademacher

Professor

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Biography

Luis Rademacher is a professor at the University of California, Davis, specializing in theoretical computer science, data science, and machine learning. He completed his Ph.D. at the Massachusetts Institute of Technology in 2007. Rademacher focuses on convex geometry and matrix computations, contributing to these fields through various research projects and publications. His work is recognized for advancing the understanding of data-driven methods and the mathematical foundations of machine learning. He actively engages in teaching and mentoring students in these disciplines, fostering a rigorous academic environment and encouraging innovative approaches to complex problems.

Research Interests

Theoretical Computer Science Data Science Machine Learning Convex Geometry Matrix Computations

Requirements for University of California, Davis

Master Program
Requirements
GPA Requirement
Required:3
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:80
IELTS
Overall
Required:7
Prerequisites
Bachelor's degree in Computer Science or related field ECS 120 (Theory of Computation) ECS 122A (Algorithm Design and Analysis) ECS 140A (Programming Languages) or ECS 160 (Software Engineering) ECS 150 (Operating Systems) or ECS 154B (Computer Architecture)
Application Checklist
  • Online application
  • Application fee
  • Three letters of recommendation
  • Transcripts
  • Statement of Purpose
  • Personal History Statement
  • CV/Resume
Specialization Notes

Department of Computer Science. GRE is NOT required.