Daniel Faronbi

He/Him/His

PhD Student in Music Technology

New York University

Honorary LSAMP Alumni

NALA Profile

Personal Interest

Multidisciplinary research in digital signal processing and machine learning. Specifically for music information retrieval. Other task of interest include machine listening, Computer Vision, and Natural Language Processing

Mentoring Interest

Alumni Recruitment

Areas of Expertise

Grad School Process, Leadership Skills, Research Abstracts, Research Posters, Research Presentation, Resume/CV

Past Research

Optimization Research in Linear Programing. Biometric signal Machine Learning and DSP. Automatic prostate cancer diagnosis using machine learning and computer vision.

Past Clubs/Organizations

IEEE Eta Kappa Nu, Walter Scott Junior Scholarship Program. UNO Honors Program