About Me


Short Bio

I graduated Magna Cum Laude from Princeton University in 2019 with a B.S.E in computer science. I am passionate about advancing the state-of-art in computer vision and deep learning research, as well as reducing the computational and domain knowledge barriers that prevent large-scale production use of machine learning. I am currently an Applied Scientist at Amazon, and was formerly a software engineer in AWS AI.

My current research interests include: 3D vision, semantic scene understanding, multi-modal learning, and learning with limited or no supervision. I see a future where computers are capable of human-like perception and visual reasoning.

I am fluent in English and Mandarin Chinese. My hobbies include tennis, ping pong, clarinet, nature walks, hacking, and writing.


Education

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 advised by Prof. Jia Deng. Paper accepted to CVPR 2020.


Skills

Programming Languages: Python, Java, R, Javascript, Go, OCaml, MatLab, C/C++
Libraries: PyTorch, TorchScript, Tensorflow, OpenCV, Shiny
Web Development: Django, Express.js | HTML5, React, Hugo, Jekyll
Databases: MySQL, MongoDB, DynamoDB
Other: AWS, Docker, Git, UNIX, LaTeX, Leadership
Keywords: Computer Vision, Deep Learning, Research, Software Engineering, Data Visualization


Coursework

Machine Learning
- ORF 350: Big Data (Spring 2017)
- COS 429: Computer Vision (Fall 2018)
- COS 529: Graduate Computer Vision (Spring 2019)

Mathematics
- 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)

Theory
- 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)

Systems
- 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)

Applied
- QCB 455: Introduction to Genomics and Computational Molecular Biology (Fall 2017)
- COS 326: Functional Programming (Fall 2017)
- COS 432: Information Security (Fall 2017)


Resume/CV

[CV]
[Resume]