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MATTHEW BEJTLICH

Matthew (b. 1991) is a data scientist, information 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



MATTHEW BEJTLICH

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.










 





PAINTING CLASSIFICATION WITH CNNS

Within recent years, museums and online art collectives around the world have started to digitize their art collections. In order to help support educators, curators, and archivists to archive and find interesting correlations between artwork, I helped to design a deep learning model.
        A database was formed with over 15,000 web-scraped images, each having attributes like (e.g. date and artistic style). A total 12 total artistic styles and 28 artists were represented. A convolutional neural network (CNN) was trained to predict style and artist, with a validation classification accuracy of 40% for style and 53% for artists. A simple visual interface was made to allow a user to run new (untrained) images through the model.
        The research was conducted under the guidance and mentorship of Dr. Serre from the Cognitive, Linguistic, and Psychological Sciences  (CLPS) lab at Brown University. 

Client: Self
Date: 2017
Class: Data and Computational Science
Instructor: Dan Potter, PhD


Matthew Bejtlich © 2020
Matthew Bejtlich © 2020