About

I work as a senior lead data scientist in the Strategic Innovation Group (SIG) at Booz Allen Hamilton in our Honolulu office (Aloha!). My projects may involve deep learning, signal processing, NLP, anomaly detection, and performance measurement. Our clients range from commercial to government and I have worked with several of them (FDA, CDC, DoD, NIH, ONC) during my tenure at Booz Allen. The work is a lot of fun because I get to work hand-in-hand with government subject matter experts like epidemiologists or members of the military. One of my favorite parts of my job is that there is always something new around the corner for me to dig into.

From time to time I teach for Metis Data Science Live Online Beginner Python and Math courses. I am also a proud alumnus of the Metis Data Science Bootcamp (Chicago, Fall 2017 cohort). I highly recommend this camp if you are interested in becoming a data scientist, want to develop some great projects, or brush up on your machine learning skillset. You will learn everything that you need to know to hit the ground running in data science, from environment setup to mathematics. www.thisismetis.com

From 2015-2017, I was on the science faculty at Bard Early College Baltimore, where I taught College Biology, Intro to Computer Science, Foundations of Technology, and Music Appreciation. 

My postdoctoral fellowship (5 years) was with Charles Limb, MD at Johns Hopkins where we studied musical creativity, auditory perception and fractal structure. I was funded by an NRSA Fellowship with the Biomedical Engineering Department at Johns Hopkins School of Medicine and grants from the Brain Sciences Institute. 

In August, 2010 I earned my PhD in Complex Systems and Brain Sciences from Florida Atlantic University. I devoted my time to system administration for the Music Dynamics Lab and my research on human coordination with 1/f-type (fractal)  auditory signals. My advisor was Edward Large, PhD. 

I am an avid quilter who makes excellent cold brew coffee.