Hi, I'm Laney.
I recently completed my Master of Science in Music Technology at Georgia Tech, transitioning into the music industry after 12 years as a statistician and health care researcher. During that time, I worked with Dr. Claire Arthur as part of the Computational and Cognitive Musicology lab, creating datasets from symbolic representations of music and analyzing that data to find trends and patterns. My master's project was an interactive tool used to navigate a sheet music repository using visualizations (see portfolio). I studied a wide range of other areas at Georgia Tech, including digital signal processing, UI/UX research and design, artificial intelligence, cognitive science, and creative coding.
In my previous roles, I applied my background in mathematical sciences (B.A. and M.S., Clemson University) to clinical trials, epidemiology, and health services projects. As a musician, I played the flute in community ensembles but struggled to find the time for creative and artistic pursuits. I always thought you had to pick a lane - STEM or the arts, left brain or right brain, analytical thinking or creativity. In music technology, I discovered a new path that embraces all of these areas. I am embarking on the next phase of my career journey, applying a systematic approach to the ways in which we create, listen to, and interact with music. I've discovered a surprising amout of overlap between my current and previous fields, with analytical thinking as the foundation of both.
I was born in Tennessee, grew up in South Carolina, and have also lived in North Carolina, Maryland, and Georgia. I'm a lifelong learner, curious and open to new ideas. I think it's important to pursue new hobbies and do things you're bad at. In my work I'm organized and conscientious, a good listener who values different perspectives. I describe myself as an introvert who loves people. Every team I work with is a new challenge and opportunity, as we continually work to communicate effectively and learn from each other.
I'll be attending several events this summer:
The MIRAGE Symposium (June 8-9 2021) is geared towards musicologists and computational music researchers, covering topics such as music data visualization, music encoding, and automated music inference.
The Music Encoding Conference (July 19-22, 2021) is the annual meeting for the Music Encoding Initiative (MEI). I'm planning to attend a couple of workshops (an introduction to MEI and a workshop on the Verovio ecosystem).
I will be presenting work from my master's project on score visualizations at DLfM 2021 (8th International
Conference on Digital Libraries for Musicology, July 28-30, 2021).
Looking forward to connecting with others in the computational musicology community!