Dr. Brian Mcfee

Associate Professor

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Biography

Brian McFee is an Associate Professor in the Department of Music Technology at New York University and also associated with the Center for Data Science. His research focuses on the development of machine learning tools to analyze music and multimedia data. Dr. McFee has supervised several Ph.D. students in Music Technology and Data Science, guiding their research and contributing to the academic community. He has an extensive publication history, including a recent book titled 'Digital Signals Theory' released in 2023. He has also developed various software tools for music analysis such as the autopool and resampy, and has engaged in significant projects dealing with large music datasets. His teaching responsibilities encompass a variety of courses in Data Science and Music Technology at NYU, including ones focused on capstone projects and fundamental digital signals theory. Brian is actively contributing to the field through research, teaching, and software development, with a goal of enriching the understanding of music using data science.

Research Interests

Courses

Capstone Project Data Science Search Discovery Big Data Fundamentals Digital Signals Theory

Requirements for New York University

Doctorate Program
Requirements
Prerequisites
Bachelor's degree from accredited institution Strong background in biological, chemical, physical, or mathematical sciences
Application Checklist
  • Online application
  • Personal statement
  • Three letters of recommendation
  • CV/Resume
  • Unofficial transcripts
Specialization Notes

Open Program in Biomedical Sciences (Vilcek Institute) covers departments like Biochemistry, Pathology, Neuroscience, Microbiology, etc.