Matthew (b. 1991) is a data scientist, designer, electrical engineer, photographer, and musician who is interested in building communities that are more inclusive, circular, just, and resilient.
He makes abstract, beat-driven electronic music as part of the audio-visual duo Dayspired and is a current partner at Rhythm Section International (London, UK), where he is being mentored by record label founder Bradley Zero (DJ at BBC Radio 1, NTS Radio, Boiler Room).
Most recently, Matthew has pursued his MFA in Graphic Design at Rhode Island School of Design (RISD) after receiving his MS in Data Science from Brown University. He is a graduate researcher at Brown’s Human-Computer Interaction Lab, and the head teaching assistant for the class “Machine Learning and Design.” He is currently looking for engaging and rigorous full time data science, design, and systems engineering work (either remote or in-person) dealing with high-impact social or environmental problems.
Connect
Email, Resume, Music, Instagram, LinkedIn, GitHub
Client list
He has worked or collaborated with Google, Holition, Warren Alpert Medical School of Brown University, British Fashion Council, Brown University HCI Lab, and the Naval Undersea Warfare Center.
Education
Rhode Island School of Design
MFA Graphic Design, 2021
Brown University
MS Data Science, 2018
University of Massachusetts Dartmouth
BS Electrical Engineering, 2015
SKETCHY
Sketchy is a web-based drawing application that allows users to sketch in virtual rooms and get ideas from viewing their peer’s sketches in real-time. In my contribution as a graduate research for the Brown University HCI Group, I conceptualized and constructed novel artistic features from 2D stroke data to help in building a personalized recommendation model in support of designers in their creative process. This is an on-going project. Reviewed paper for CHI 2020 conference.
Date: 2020
Client: Brown University HCI Lab
Advisor: Jeff Huang, PhD & Shawn Wallace, MS
Sketchy is a web-based drawing application that allows users to sketch in virtual rooms and get ideas from viewing their peer’s sketches in real-time. In my contribution as a graduate research for the Brown University HCI Group, I conceptualized and constructed novel artistic features from 2D stroke data to help in building a personalized recommendation model in support of designers in their creative process. This is an on-going project. Reviewed paper for CHI 2020 conference.
Date: 2020
Client: Brown University HCI Lab
Advisor: Jeff Huang, PhD & Shawn Wallace, MS
