Jonathan Xue

About Me

Hi! My name is Jonathan Xue and I'm a college freshmen with a passion for computer science. You're probably here to learn a bit more about me, so read on!

I was a member of the 2017-18 Illinois Junior Academy Of Science Student Board, which hosts the annual Illinois State Science Fair. We aimed to expose students of all ages to the STEM field, as individuals explore personal interests through research and experimentation.

Hackathons have been one of the greatest influences on my life thus far. There is something magical about being in an environment which inspires success; a place where I can focus on developing a product through teamwork and competition. Some of my fondest moments have come from these caffeine-full events, whether it be trying to find a team at Huskie Hacks or debugging our implementation of Microsoft Cognitive Services at MHacks.

Outside of tech, I also enjoy playing the piano in my spare time. I started when I was eight, and ever since then, have fallen in love with the crisp, clear tones, each hanging with various intensities. Music is a form of expression; I can always rely on Bach's Preludes & Fugues, Chopin's Nocturnes, among countless others to help me through my joys and sorrows.


University Of Illinois, Urbana-Champaign
Bachelors Of Science, Computer Science
  • James Scholar
  • GPA: 3.93


University Of Illinois At Urbana-Champaign
Spring 2019
Research Assistant - Huy Tran
  • Developed software to assist in the Machine Learning Prediction Of Weather-Related Flight Delays
  • Setup a MongoDB database containing key datapoints regarding flight information (departure time, arrival time, origin, destination, delays)
  • Cleaned up existing Python code to increase legibility and scalability
University Of Illinois At Urbana-Champaign
Fall 2018
Research Assistant - Wing Lam
  • Analyze and accommodate test dependencies in regression testing algorithms
  • Developed two separate Maven plugins to automate the process of accommodating dependent tests
  • Use of the work is 7.1% faster at producing reliable outcomes than regression testing algorithms which assume test independence
Research Poster
FreeGeek Chicago
Summer 2018
  • Deconstructed electronic devices into their core materials for waste recycling
  • Unit tested hardware components (RAM, hard drives, graphics cards, etc.) to ensure functionality. Used PartedMagic to perform data sanitization
  • Built Linux-based systems out of donated and recycled parts
Northwestern University
Summer 2017
Research Assistant - Wing Kam Liu
  • Ran computer simulations to study The Effect Of Nanoconfinement On The Structural And Transport Properties Of H2O
  • Wrote Python scripts to generate multiple data input files, each consistent of 10,000+ lines detailing the molecular composition/bonds of H2O and a single-walled carbon nanotube of varying diameters
  • Used LAMMPS Molecular Dynamics Simulator to specify simulation parameters and retrieve results
Research Poster


  • C++
  • Java
  • JavaScript
  • Python
  • Firebase
  • Node.js
  • MongoDB
  • Adobe XD
  • Excel
  • Illustrator
  • Photoshop

  • C
  • Android
  • Autodesk Inventor

  • Autodesk Maya

Notable Projects


Built at PennApps XVIII, Stud-Vision is a mobile application aimed towards increasing student comprehension via augmented reality. Stud-Vision analyzes live and static inputs through the camera, and associates key diagrams and text with the corresponding 3D models. Users are able to interact in real-time, zooming in/out and rotating models to facilitate a better understanding of core concepts..


Built at MHacks X, Watchdog is a platform created to increase engagement in classrooms. Using a camera and Microsoft's Cognitive Services, Watchdog monitors a classroom and offers the teacher live, in-depth analytics on the current state of the room through collecting continuous data on the emotions and engagement of the students. The data is aggregated to display trends over time.


Built at Huskie Hacks - Health & Wellness, Aspecto is a platform aimed towards improving employees' mental and physical health within the workplace. Aspecto analyzes inputs from the user's microphone and camera to provide workers with a comprehensive overview of their physical and emotional state. It uses the data to generate live alerts regarding healthy habits such as posture and eye exercises.


Built at CodeDay Chicago and Chicago Hacks, Caveat is a platform which serves comprehensive crime analytics within the city of Chicago. Using information from the Chicago Data Portal, a heat map is generated to facilitate an intuitive understanding regarding areas of high risk. Further analysis is also offered, detailing crime types and frequencies in the immediate vincinity.

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