Professional Summary

Publications

“Understanding Communities via Hashtag Engagement: A Clustering Based Approach,” Orianna DeMasi, Douglas Mason, Jeff Ma. ICWSM 2016. AAAI link: http://www.aaai.org/ocs/index.php/ICWSM/ICWSM16/paper/view/13115 | PDF (1.4 MB)

“Revealing the flux: Using processed Husimi maps to visualize dynamics of bound systems and mesoscopic transport,” D. J. Mason, M. F. Borunda, and E. J. Heller, Phys. Rev. B 91, 165405 (2015). APS link: 10.1103/PhysRevB.91.165405 | PDF (6 MB).

“Semiclassical deconstruction of quantum states in graphene,” D. J. Mason, M. F. Borunda, and E. J. Heller, Phys. Rev. B 88, 165421 (2013). APS link: 10.1103/PhysRevB.88.165421 | PDF (7 MB).

“Analytical Methods in Mesoscopic Systems”, Douglas J. Mason, Physics PhD Thesis, Harvard University (2013) | PDF.

“Husimi Maps in Lattices”, Douglas J. Mason, Mario F. Borunda, Eric J. Heller, arXiv link: arXiv:1206.1013 (2012)

“Quantum Flux and Reverse Engineering of Quantum Wavefunctions”, D. J. Mason, M. F. Borunda, and E. J. Heller, EPL 102,60005 (2013). IOP doi link: 10.1209/0295-5075/102/60005 | PDF (915 KB).

“Algorithm for efficient elastic transport calculations for arbitrary device geometries”, D. Mason, D. Prendergast, J. Neaton, E. Heller, Phys. Rev. B, 84, 155401 (2011). APS link: 10.1103/PhysRevB.84.155401

“Threshold for Chaos and Thermalization in One-Dimensional Mean-Field Bose-Hubbard Model”, A. Cassidy, D. Mason, V. Dunjko, M. Olshanii, Phys. Rev. Lett. 102, 025302 (2009). APS link: 10.1103/PhysRevLett.102.025302

“Flares, Magnetic Fields, and Subsurface Vorticity: A Survey of GONG and MDI Data”, D. Mason, R. Komm, F. Hill, R. Howe, D. Haber, and B.W. Hindman, The Astrophysical Journal, Volume 645, Issue 2, pp. 1543-1553 (2006). IOP link: 0004-637X/645/2/1543/

Presentations

Using Deep Learning to Create a Harmony Classifier, Douglas J. Mason, Amazon Music

Timeline Visualization of Semantic Content, Douglas J. Mason, SIGGRAPH Asia 2015, Kobe Japan

Machine Learning for Internal Product Measurement, Douglas J. Mason, UseR! 2015, Aalborg, Denmark

What Works and What Doesn’t: Using Crowd-Sourcing to Understand What Makes Tweets Engaging, Douglas J. Mason, DataWeek, October 2013

The Beatles Genome Project: Cluster Analysis and Visualization of Popular Music, Douglas J. Mason, VisWeek, October 2012

Automatic Lead-Sheet Visualization for Musical Study, Douglas J. Mason, SIGGRAPH September 2012

A Semi Classical Interpretation of Probability Flux, Douglas J. Mason, Istanbul University, May 2012

Douglas Mason on Musical Informatics video of my presentation at the Boston Chapter Quantified Self Meetup

More talks can be found in my CV.

Non-Scholarly Articles

When Computers Listen to Music, What Do They Hear? My work in music informatics has been featured in the Boston Globe.

Exploiting Quantum Mechanics to Design the Next Generation of Transistors description of my thesis work, directed towards a lay audience at the Department of Energy.

Bit-by-Bit, Note-for-Note description of ongoing work at MIT to catalogue and analyze an enormous database of popular music.

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