I am a computer science student at Princeton University, who is passionate about solving interdisciplinary problems using machine learning, software engineering, and quantitative methods. My background is in research and software engineering. My interests include, but are not limited to, deep learning, computer vision, high-performance computing, information storage and retrieval, optimization, education, and healthcare. Broadly, my goal is to create value in the world using my skills and talents.
I am fluent in English and Mandarin Chinese. My hobbies include tennis, ping pong, clarinet, nature walks, hacking, and writing.
Princeton University | 2015-2019
B.S.E. in Computer Science and Minor in Statistics and Machine Learning | Magna Cum Laude
Senior Thesis in Computer Vision under supervision of Prof. Jia Deng
Libraries/Frameworks: PyTorch, Tensorflow, Shiny, ggplot2, Numpy, Pandas, Bootstrap, jQuery, d3, Express.js
Additional Tools: Git, AWS, Jupyter, UNIX, LaTeX
Keywords: Deep Learning, Software Engineering, Research, Data Visualization, Web Development
- MAT 201: Multivariable Calculus (Fall 2015)
- MAT 202: Linear Algebra (Spring 2016)
- ORF 245: Statistics (Spring 2016)
- ORF 309: Probability and Stochastic Systems (Spring 2017)
- ORF 363: Convex Optimization (Fall 2018)
- COS 226: Algorithms and Data Structures (Spring 2016)
- COS 340: Reasoning about Computation (Spring 2017)
- COS 445: Economics and Computing (Spring 2018)
- COS 423: Theory of Algorithms (Spring 2019)
- COS 217: Programming Systems (Fall 2016)
- ELE 206: Logic Design (Fall 2016)
- COS 333: Advanced Programming Techniques (Spring 2018)
- COS 461: Computer Networks (Spring 2018)
- COS 418: Distributed Systems (Fall 2018)
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