Daniel Faronbi is a Music Technology PhD student in the Music and Audio Research Laboratory (MARL) at New York University. His advisors are Dr. Juan P. Bello and Dr. Leila Adu-Gilmore. His research interests lie in exploring machine learning techniques for generating representations for parameter generation in virtual instruments. Prior to his work with NYU, Daniel was involved in multiple research projects. He served as a research assistant at the Data and Decisions Sciences at the University of Nebraska focussed on implementation of multidimensional search algorithms for linear programming. He also worked as an Engineering Intern for Bot Image (an AI startup company) using computer vision and machine learning approaches to automate prostate cancer diagnosis from medical images.
Daniel is also an active jazz pianist, music producer, and composer. He has performed for music groups spanning a wide variety of genres and has received both jazz and classical training. He has worked as a studio manager for Studio 381 at the University of Nebraska and has published the album, Don’t Sleep, for his jazz influenced group, B.E.D. Trio. Notable performance groups include B.E.D. Trio, NYU’s All University Jazz Ensemble, UNO Jazz Ensembles, and UNO Symphonic Wind Ensemble.