CVPDF | JSON
Doctoral candidate in music and masters' student in CS with 5 years of professional and open-source experience in machine learning (NLP/audio analysis) and full-stack development. Seeking to transfer my broad skillset from academia to industry. Dedicated self-starter excited to work with a dynamic team toward business objectives.
Built a new site for African-American Studies Dept. with designer Remeike Forbes.
Enriched UX with a responsive WordPress theme.
Saved client labor by writing a plugin for importing academic publications (PHP).
Created Loom, a library and declarative DSL for patterning audiovisual events (Java).
Improved frame-based timing (>30 ms) accuracy) to <1 ms by writing a soft real-time scheduler.
MetaLAB @ Harvard
Developed Paper Machines, Firefox extension for NLP/dataviz, with Jo Guldi (Python, D3).
Offered insight into users' text corpora via topic modeling, NER, geoparsing.
Built a keyboard harmony trainer (JS).
App used by all intro music theory courses the next year.
Visualizing state transition graphs for servant RESTful APIs (Haskell).
New features, refactoring, and functional tests for 70k-user image-sharing app (Rails).
Visualization/sonification for topic models of audio (Python, Elm).
Presented at Global Digital Humanities 2015.
Visualization of Original Hip-Hop Lyrics Archive (D3, Ember).
Shown at NIPS 2013 Topic Modeling Workshop.
Continued maintenance after GSoC.
Broadened compatibility by switching to Jython.
Wrote a new server (Scala/Play).
Viz/mashup of Last.FM and Twitter API data (JRuby).
Tracked musicians' relationships across social platforms.
Thesis: Content-Based Genre Classification and Sample Recognition using Topic Models
Ph.D in Ethnomusicology (defending Oct 2017)
M.A. in Ethnomusicology (completed May 2013)