Devin Murphy

Devin Murphy

M.Eng Student

MIT EECS

Hello!

I am a current M.Eng student in Electrical Engineering and Computer Science at MIT conducting research on scalable, adaptive, and efficient wireless tactile sensing. I am interested in developing intelligent wearable systems using textile-integrated electronics, low-power wireless communication protocols, and multimodal signal processing and machine learning. On this page you can find past projects I’ve worked on, as well as my current resume. Feel free to contact me at devinmur@mit.edu about anything you find here!

Interests
  • Digital Fabrication
  • Low-power Wireless Sensing
  • Multimodal AI
Education
  • MEng in Electrical Engineering and Computer Science, 2024-Present

    Massachusetts Institute of Technology

  • BSc in Electrical Engineering and Computer Science, 2018-2022

    Massachusetts Institute of Technology

Experience

 
 
 
 
 
The MathWorks
Quality Engineer
September 2022 – February 2024 Natick, Massachusetts
  • Provided technical support for MATLAB and Simulink in the Engineering Development Group.
  • Transitioned to the MATLAB Online Team, where I developed full stack web applications to track MATLAB Online performance, and expanded the team’s high-availability and scalability testing infrastructure
 
 
 
 
 
Yoto
Software Engineer Intern
June 2022 – August 2022 London, United Kingdom
Designed and implemented a new ”Yoto Weather” feature, providing kid-friendly weather forecasts based on the location of the player.

Projects

CalPal
An intelligent multimodal digital wall calendar
CalPal
Vocal Tract MRI to Speech
Exploring the combination of a convolutional neural network with a recurrent neural network to predict acoustic properties of the vocal tract
Vocal Tract MRI to Speech
Membranas
Creating an accelerometer based microphone and digital communication protocol for a spatial sound sculpture
Membranas
Kaboom
An FPGA based cooperative puzzle game in which players work together to defuse a bomb
Kaboom
Campaign Spending Strategies
Applying PCA and k-means clustering to analyze and assess the effectiveness of campaign spending strategies for U.S. House of Representatives candidates
Campaign Spending Strategies
For Them
A piece I composed for solo clarinet and live electronics using Max
For Them