My name is Greg, I am a Research Engineer and a data technologist with a particular interest in music. My work typically orbits around Artificial Intelligence and Digital Signal Processing. Over the years, I’ve studied and built systems to help machines understand the musical signal the way humans do. Along the way, I developed a soft spot for media hacking, data-driven riddles and jazz drumming.

I have been working at SMP since early 2017, where I write infrastructures and automatons to process the largest physical and digital sheet music catalog in the world. In my spare time I build data analytics and trading bots at Omenics where we focus on the cryptocurrency market. Prior to that, I was working at Gracenote since 2013, where I conducted research in Audio DSP and Deep Learning to solve problems in the field of Music Information retrieval (MIR). I began as a contractor for  the Sennheiser Technology and Innovation group, to spearhead developing the first Machine Learning framework for automatic blind (sound) source localization. The Bay became my home upon graduation.

In 2013, I completed the Masters program at the Georgia Tech Center for Music Technology (GTCMT) where I researched new ways of modeling musical creativity. Within the Music Intelligence Group led by Dr. Parag Chordia, I focused on artificial systems for rhythmic improvisation by researching and building innovative means of interaction between performers, listeners and machines. I joined the GTCMT to fuel my appetite for computer sciences and artificial intelligence, and to contribute to the development of interactive media in music making and music listening. My interests revolve around music information retrieval, digital signal processing, machine learning, interactive audio technologies, sound design, electro-acoustic engineering and sound perception.

I was born in Paris, grew up in Lyon, and moved from France to the Los Angeles when I was seventeen. A few years later I graduated from California State University Northridge with a Bachelor’s degree in Physics and Mathematics. I had an insightful experience during an REU at University of Illinois Urbana-Champaign which would shape my interest in fusing science with music. I investigated the modal vibrations of a Fiberskyn frame-drum membrane using near-field acoustic holography techniques with Dr. Steven Errede. I developed a keen interest in sound technologies and in how engineering can be incorporated into the musical realm.