Matthew Bejtlich © 2020
Matthew (b. 1991) grew up in the quiet corn fields and pine trees of rural Massachusetts. He is a photographer, musician, composer, and data scientist with an interest in sustainability and storytelling for impact. He especially enjoys working across the domains of music, fashion, food, and the natural environment. His research exists at the interface of data science, experience design, human-computer interaction, participatory design, data ethics and data provenance, and creativity support tools.
For the past ten years, Matthew has been deeply invested in the global electronic music scene, producing electronic music as part of the audio-visual duo Dayspired. He 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). Soon he will also be exploring more minimal and atmospheric directions in solo work released under his own name.
Matthew recently graduated with his MFA from Rhode Island School of Design (RISD) after receiving his MS in Data Science from Brown University. He was 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 open to full time work and freelancing opportunities.
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
OPEN ARTICULATIONS (RISD MFA THESIS)
Open Articulations invites an exchange between human and environmental worlds through cycles of improvisation, reflection, and rebirth. It is a study of how exchanges emerge, what forms they can take, how they are mediated, and how we can sustain them with each other and with our surroundings. Embodied within this book are the traces and tonal accents of these exchanges. Breathless acts. Careful watchings. Open and conjoined articulations. Here is my side of it. What is yours?
Date: 2021
Class: Graduate Thesis II (RISD)
Primary Advisor: Paul Soulellis
Secondary Advisor: Aki Nurosi
External Critic: Keira Alexandra
GPD: Bethany Johns
Printed and Bound at HF Group
Format: Book (Hardcover)
Pages: 196
Size: 8.46″ by 11.6″
Open Articulations invites an exchange between human and environmental worlds through cycles of improvisation, reflection, and rebirth. It is a study of how exchanges emerge, what forms they can take, how they are mediated, and how we can sustain them with each other and with our surroundings. Embodied within this book are the traces and tonal accents of these exchanges. Breathless acts. Careful watchings. Open and conjoined articulations. Here is my side of it. What is yours?
Date: 2021
Class: Graduate Thesis II (RISD)
Primary Advisor: Paul Soulellis
Secondary Advisor: Aki Nurosi
External Critic: Keira Alexandra
GPD: Bethany Johns
Printed and Bound at HF Group
Format: Book (Hardcover)
Pages: 196
Size: 8.46″ by 11.6″
SEEDLINKED: DATA-DRIVEN SEED SHARING
How do we unflatten, juxtapose, and reveal the multiple stakeholder perspectives in the agri-food supply chain to offer a more authentic experience? How can personal stories be used to connect people in the supply chain? Through shared data-driven insight, the SeedLinked platform aims to bring connectivity to plant breeders, seed companies, farmers, gardeners, chefs, universities, and other testing organization in order to support the growth of local organic farming.
In this essay, I examine and discuss SeedLinked (as a networked system) in relation to class readings, academic literature, and current entrepreneurial initiatives in the food industry. A secondary goal is to propose clear recommendations to help improve the interface design and the way that the data is shared across multiple users.
Date: 2020
Client: SeedLinked
Class: Foodways & Sustainable Food Systems, RISD
Instructor: Jonathan Highfield, PhD
How do we unflatten, juxtapose, and reveal the multiple stakeholder perspectives in the agri-food supply chain to offer a more authentic experience? How can personal stories be used to connect people in the supply chain? Through shared data-driven insight, the SeedLinked platform aims to bring connectivity to plant breeders, seed companies, farmers, gardeners, chefs, universities, and other testing organization in order to support the growth of local organic farming.
In this essay, I examine and discuss SeedLinked (as a networked system) in relation to class readings, academic literature, and current entrepreneurial initiatives in the food industry. A secondary goal is to propose clear recommendations to help improve the interface design and the way that the data is shared across multiple users.
Date: 2020
Client: SeedLinked
Class: Foodways & Sustainable Food Systems, RISD
Instructor: Jonathan Highfield, PhD
HUNGARY ACCORDION
A visually coherent group of information graphics and statistics about Hungary.
Date: 2016
Client: Self
Class: Information Design and Data Visualization (RISD)
Instructor: Doug Scott
A visually coherent group of information graphics and statistics about Hungary.
Date: 2016
Client: Self
Class: Information Design and Data Visualization (RISD)
Instructor: Doug Scott
Data visualization
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SKETCHY: CREATIVITY SUPPORT TOOL
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 the building of a personalisation model to support artists 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 the building of a personalisation model to support artists 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
LONDON FASHION WEEK S/S 2018
Worked in collaboration with Google, Conde Nasté, and a select team of interns to create an art installation for the London Fashion Week Spring/Summer 2018 event. The algorithmic tree visualization shows the emerging conversations (e.g. sustainability, diversity, model health) in the London fashion industry over the course of the two week event.
As the primary data scientist, I performed initial brand identity research, helped craft a compelling message that aligned with the core principles of British Fashion Council, identified and evaluated
relevant data streams, analyzed data, and helped to code the final visual concept.
As a secondary project, I lead in the research and prototype development of an internal proprietary digital curation tool —a mechanism for pooling and analyzing information from online sources and revealing emerging fashion trends.
Client: Holition
Date: 2018
Class: Data Science Capstone
Instructor: Dan Potter, PhD
Worked in collaboration with Google, Conde Nasté, and a select team of interns to create an art installation for the London Fashion Week Spring/Summer 2018 event. The algorithmic tree visualization shows the emerging conversations (e.g. sustainability, diversity, model health) in the London fashion industry over the course of the two week event.
As the primary data scientist, I performed initial brand identity research, helped craft a compelling message that aligned with the core principles of British Fashion Council, identified and evaluated
relevant data streams, analyzed data, and helped to code the final visual concept.
As a secondary project, I lead in the research and prototype development of an internal proprietary digital curation tool —a mechanism for pooling and analyzing information from online sources and revealing emerging fashion trends.
Client: Holition
Date: 2018
Class: Data Science Capstone
Instructor: Dan Potter, PhD