About
I’m a second-year undergraduate majoring applied and computational mathematics and minoring computer science at University of Southern California. I’m interested in algorithms, deep learning, and using math to reason about complex systems.
Skills
Used in coursework and personal projects.
For building, experimenting, and debugging.
Publications
Experience
- Implemented deep learning architectures (CNNs, RNNs, Transformers) for vision tasks including image captioning and classification.
- Built scalable ML pipelines for data collection and preprocessing.
- Conducting research on the safety of state-of-the-art vision–language models (paper under review).
- Assisted in the fabrication of microelectronic device substrates using the lift-off process for terahertz communication.
- Gained hands-on cleanroom experience with mask aligners, ICPCVD, and electron-beam evaporation systems.
- Gained experience in ultra-low temperature experiments and quantum transport measurements.
Education & Resume
Mathematics & Physics: Calculus III, Linear Algebra and Linear Differential Equations, Advanced Principles of Physics I, Probability Theory, Applied Combinatorics, Mathematical Statistics (Spring 2026), Number Theory (Spring 2026)
Computer Science: Introduction to C++, Discrete Methods in Computer Science, Introduction to MATLAB, Deep Learning for Computer Vision, Data Structures, Introduction to Algorithms and Theory of Computing (Spring 2026), Artificial Intelligence: Principles and Foundations (Spring 2026),
- Dean’s List (Fall 2024 - Present)
- Academic Achievement Award (Fall 2025)
- Outstanding Graduate with Scholarship 50,000 RMB (2024)
- High Distinction—Australian Science Olympiads Physics (2022)
- Outstanding Student with Scholarship 2,000 RMB (2022)
- Outstanding Student Leader with Scholarship 2,000 RMB (2021)
My resume summarizes my academic background, projects, and experience in a single page. You can download a PDF copy below.
Contact
If you’d like to talk about internships, research, projects, or anything related to software, ML, or math, feel free to reach out.
Email:
angqi@usc.edu
GitHub:
github.com/ang-iab
LinkedIn:
linkedin.com/in/angqiusc