Marina Cottrell (650) 942-5125 marinacottrell@gmail.com https://github.com/minamouse https://ccrma.stanford.edu/~marina/ SKILLS Programming Languages: Python, C#, C++, Java, ChucK/Chunity, MATLAB Frameworks/Libraries: music21, Tensorflow, Keras, Verovio, pandas, scipy, matplotlib, Jupyter Web: JavaScript, PostgreSQL, XML, HTML, CSS, Heroku Software: Unity, Logic Pro, Photoshop, MuseScore, Finale, Audacity Music: Violin/Viola (20 years), Voice (15 years), Piano (5 years), Arranging and Orchestration, Sound Recording and Mixing, Music Theory, Orchestral and Choral composition, Film scoring Languages: English, German, French EXPERIENCE Facebook, Menlo Park — Software Engineer Intern JUNE 2018 - SEPT 2018 Worked on the Facebook Audio team working on the Spatial Workstation. Researched and implemented smooth transitioning between Ambisonics and Object-based audio as ways of spatializing audio. Implemented perceptual audio importance ranking algorithm. Technologies: C++/C, Python, Git, Mercurial, XCode, Visual Studio Branch Metrics, Palo Alto — Software Engineer Intern JUNE 2017 - SEPT 2017 Worked as a backend engineer on authentication. Implemented SSO (Single Sign-On) for the product and rolled out usage for in-house authentication. Technologies: Java, Javascript, Git Digital Distributed Music Archives and Libraries Lab, McGill University — Research Assistant MAY 2015 - AUG 2016 Worked as a programmer for DDMAL with Ichiro Fujinaga and Julie Cumming. Worked on maintaining and adding to the VIS-framework to create tools for research incomputational musicology. Implemented a basic mode-finding algorithm and began the process of gathering and processing data for a large-scale machine learning implementation. Researched and implemented pattern-matching algorithms for musical search tools and to develop metrics of musical similarity. Presented at the Music Encoding Conference about my work on the VIS-framework and examples of how it can be used in research. Technologies: Python, Git, XML, Java, Javascript, HTML, Verovio EDUCATION Stanford University — Master's in Music, Science, and Technology SEPT 2017 - PRESENT Stanford Arts Institute Fellowship, Advisor: Jonathan Berger Courses: Computer-Generated Sound, Digital Audio Signal Processing, Sound Recording Technology, Psychoacoustics & Music Cognition, Neuroscience and Musical Gaming, Deep Learning, Music, Computing and Design, Computational Music Theory and Analysis Teaching Assistant for Music 101 -Introduction to Creating Electronic Sounds Member of VR research lab with Ge Wang. McGill University — Bachelor's in Music Theory SEPT 2012 - MAY 2016 Minor in Music Education Courses: Psychology of Music, Modal Counterpoint, Tonal Counterpoint, Topics in Tonal Analysis, Topics in Pop Music Analysis, Topics in Post-Tonal Analysis, Proseminar in Music Analysis, Mathematical Models of Music Analysis, Introduction to Computer Science, Programming Languages and Paradigms