Hi! I'm Quanjing Chen

I am Quanjing Chen [k-oo-ah-n-j-ee-n ch-eh-n], a full stack software engineer with a background in cognitive science.
I defended my PhD at Dr. Brad Mahon's lab at the University of Rochester in New York in 2018, where I studied how human represent object knowledge with machine learning techniques, and gained a wealth of experience designing and programming computer-based tests with Python and Matlab. Following that I was a postdoctoral research scientist in Dr. Vankee Lin's lab at Stanford University, where I conducted research on applying machine learning to brain data in Alzheimer's disease field.
I have a passion for applying AI to software develpment and recently completed an intensive training program at HackReactor, where I gained hands-on experience in both frontend and backend development through more than 1000 hours of coding. Now I'm eager to apply these skills and knowledge to make a difference in the tech industry. Particularly, I'm interested in applying my expertise in software development, machine learning and cognitive research to design and develop innovative solutions that positively impact people's lives.

Check out my resume

My skills

  • Software Development

    Has diverse technical skills in front-end and back-end development, including proficiency in JavaScript, TypeScript, React, Node.js, PostgreSQL, MongoDB and other related tools. Familiar with various testing and deployment tools, as well as Agile methodology.

  • Data Science Engineering

    Strong knowledge in Python/R/Matlab for data processing and analysis. 8+ years of machine learning development experience. Published 20+ peer-reviewed articles with 470+ citations.

Projects

  FULL-STACK APPLICATION  

HeartBeat

Next.js | TypeScript | TailWind | GraphQL | CI/CD

A web platform connecting nurses with employers, offering real-time chat, mapping functionality, and seamless authentication experiences.
Live (On Going)

  FULL-STACK APPLICATION  

BurnIt

React Native | Firebase | ChatGPT | Redux

A mobile chatbot that tracks daily physical activity and calorie intake, and offers personalized recommendations.
Demo
GitHub

  BACK-END APPLICATION  

Atelier API Extension

Node.js | PostgreSQL | AWS | Nginx

Designed and optimized an API server and database to support an e-commerce application with millions of products.
GitHub

  FULL-STACK APPLICATION  

Planny

React Native | TypeScript | MongoDB | Firebase

A mobile application for plant enthusiasts and households to simplify and streamline plant care.
GitHub

  FRONT-END APPLICATION  

Atelier

React | HTML5 | CSS3 | AWS | Node.js

A user-friendly platform for online browsing and purchasing.
Demo
GitHub

  VERSION-CONTROL SYSTEM  

Gitlet

Java | Version-Control

A version control system build with Java which mimics some of the basic features of Git including add, commit, checkout, branch and merge, as well as some additional features.
GitHub

  GRAPH DATA ANALYSIS  

App-Based Mental Training

Python | Matlab | Machine Learning

By applying state-of-the-art neuroimaging, statistical, and computational modeling techniques to brain data, I found significant improvement in cognitive ability and brain connectivity from a 6-week mental training. Published in Neuroimage, 2022.
Online Reading
Media Appearances

  TIME SERIES DATA ANALYSIS  

Machine Learning Algorithm Predictd Training Gain

Python | Matlab | Machine Learning

By applying a novel shapelet analytical approach that allows for accurate and interpretable analysis of time series data, I discovered an acute, ECG-derived segment that predicted learning outcomes from a 6-week mental training. Published in Human Brain Mapping, 2021
Online Reading
Media Appearances

Fun

In my spare time, I like to go camping, read books, and watch movies and TV shows. Additionally, I enjoy discovering new restaurants and hanging out with my friends.