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Hello, world.

I'm Jack Edelist.

Student of Computer Engineering & Machine Learning Student-Athlete, Guitarist, DJ Junior Developer

More About Me
About Me

Let me introduce myself.

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I'm a rising Senior at Boston University studying computer engineering with a concentration in machine learning. I grew up in Hong Kong and now live in Toronto, Canada, after attending boarding school for four years. I'm a student-athlete on the BU Men's Rugby Team, the lead guitarist for the BU Pep Band, a member of the Sigma Phi Epsilon fraternity, and a professional DJ.

Previously, I've loved working with children, teaching them guitar and coaching them in hockey. Now, I'm focusing on exploring projects in my free time, working at my internships, and enjoying the thrill of college. For fun, I love sports – hockey, football, rugby, snowboarding – and playing guitar and DJing at bars and clubs.

Currently, I work as an undergraduate intern for the Bio Optical & Acoustic Spectroscopy (BOAS) Lab, where I work to manufacture NinjaNIRS2021 wearable helmet device optodes using Functional Near-Infrared Resonance Spectroscopy (fNIRS), as well as design a unique convolutional neural network U-NET architecture to detect stalling in brain capillaries. My personal interests are in deep learning, quantum mechanics, and fNIRS. Last summer, I interned at General Motors in Pontiac, MI, working on their hydrogen fuel cell technology, HydroTec. I particularly enjoyed testing CAN messages on embedded controllers using hardware-in-the-loop simulators, and writing a new Simulink software to simulate a dual fuel cell configuration. This summer, I'm looking forward to continuing my exciting research with the BOAS lab, continuing the work on our model for detecting brain capillary stalls.

After my Senior year, I hope to join the workforce as a machine learning engineer. Please feel free to reach out to discuss anything from projects to hobbies!

Interests

I am interested in AI/ML in new technologies; more specifically, my interests lie in deep learning, quantum mechanics, and fNIRS.

  • Current Education Bachelor of Science - Class of 2025
    Major: Computer Engineering
    Concentration: Machine Learning
  • Current Job: Undergraduate Research Assistant at Boston University Bio Optical & Acoustic Spectroscopy (BOAS) Lab
  • Email: edelist@bu.edu

Skills

Other skills: Deep Learning, PyTorch, Advanced Algorithms & Data Structures, Operating systems, Linux/UNIX, Computer Architecture, Computer Networking, MATLAB/Simulink, Java, Flask, MongoDB, FPGA, MIPS & x86 Assembly Language, Swift, Arduino, Git, UNIX, CAD, electrical circuits, digital circuits, economics, fNIRS, ETAS: Control Desk - INCA - MDA, Vehicle Spy, PCAN Explorer

  • 95%
    C/C++
  • 90%
    Python
  • 85%
    Verilog
  • 70%
    HTML/CSS
  • 80%
    MATLAB/Simulink
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Resume

More of my credentials.

Work Experience

Controller Test Engineer (Software Engineering Intern)

June 2023 - August 2023

General Motors – Hydrogen Fuel Cell Controller Integration Group

  • Wrote Simulink software for dual hydrogen fuel cell power cube simulation with 66 CAN messages; tested by programming PCAN-Router Pro
  • Tested and wrote testcases for 3 CAN translation boxes using dSpace hardware-in-the-loop simulator, Vehicle Spy, PCAN Explorer
  • Safety verified new software version for 22 fuel cell serial data CAN messages: faults, diagnostics, maturation times, remedial action

Undergraduate Research Assistant

September 2022 - Present

Boston University Bio Optical & Acoustic Spectroscopy Lab

  • Manufacture NinjaNIRS2021 wearable helmet device optodes using Functional Near-Infrared Resonance Spectroscopy (fNIRS)
  • Manufacture hardware that is updated with BOAS Lab's fNIRS systems, and distribute devices to internal/external research peers
  • Design unique convolutional neural network U-NET architecture to detect stalls in brain capillaries with 0.8 accuracy

Head Guitar Instructor

June 2021 - August 2022

Camp Arowhon

  • Supervised and led the guitar department at an overnight summer camp for children aged 7-15
  • Created curricula, learning materials, and awards tailored to the individual
  • Facilitated communication between 4 supervisees and management
  • Taught a minimum of 5 hours per day, 6 days per week - not including time spent outside the classroom

Education

Bachelor of Science

September 2021 - Present

Boston University

Concentration in Machine Learning
Cumulative GPA: 3.32
Relevant Coursework: Advanced Data Structures, Deep Learning, Operating Systems, Machine Learning, Computer Organization, Computer Networking, Algorithms & Data Structures, Logic Design, Software Engineering, Linear Algebra, Discrete Math, Differential Equations, Probability/Statistics/Data Science, Electrical Circuits, Electricity & Magnetism, Engineering Mechanics, CAD, Chemistry

High School

September 2017 - May 2021

Upper Canada College

IB Diploma & OSSD Diploma
GPA: 4.4/4.0
IB Points: 41
Year 12 OSSD Average: 96.3%

Projects

My notable work in chronological order.

My projects consist of practical solutions to problems and various explorations with different coding.

Liberty

Multimodal Digital Clock

Verilog, FPGA, VGA monitor connector
Shutterbug

Gopher

IOS Application (Swift)
Clouds

Arithmetic Logic Unit

Verilog HDL
Beetle

Counter, Debouncer, 7-Segment Display Driver

Verilog HDL, FPGA
Lighthouse

Smart Bike Light

Product Design, Arduino Nano BLE 33
Salad

Physics Research Paper

The Effect of Changing a Guitar's Pickup Configuration on Tonal Quality
UNIX Shell

UNIX Shell

Linux, C, Operating systems
Threading Library

Threading Library & Local Storage

Linux, C, Operating systems
File System

File System

Linux, C, Operating systems
File System

Audio Style Transfer Using Mel-Spectrograms

Deep learning, PyTorch, convolutional neural networks, transformers
File System

VSLAM 3D Object Detection

RGBD VSLAM, Java, MATLAB, JavaScript, Flask, MongoDB, PyTorch
My Future...

What might it look like?

10

Projects Completed

9

Proficient Languages
Contact Me

I'd Love To Hear From You.

Please don't hesitate to reach out and discuss ideas, projects or hobbies.

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Where to find me

44 Cummington Mall
Boston, MA
02215 US

Email Me At

edelist@bu.edu

Call Me At

Mobile: +1 (617) 909-7183