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
- Built and evaluated deep learning models for computer vision tasks including image captioning and image classification.
- Implemented and benchmarked transformer-based and self-supervised vision methods, including SimCLR, MoCo, and DINO, for representation learning and downstream evaluation.
- Applied vision-language models such as CLIP, BLIP-2, and LLaVA to image captioning, data filtering, and multimodal reasoning workflows.
- Developed scalable data collection and preprocessing pipelines to support model training and evaluation.
- Surveyed recent VLM robustness and safety literature to design evaluation criteria for hallucination, negation sensitivity, adversarial failure modes, and benchmark reliability.
- Contributing to ongoing research on safety and failure analysis in state-of-the-art vision-language models (manuscript under review).
- Planned and led large-scale student events — including field day, flag football, talent shows, and photography competitions — each attracting 150+ participants.
- Ran weekly leadership meetings to collect student feedback, evaluate proposals, and improve campus engagement.
- Managed official school social media communications and coordinated event publicity.
- Assisted with microelectronic substrate fabrication for terahertz communication devices using lift-off processes.
- Operated cleanroom equipment including mask aligners, ICPCVD systems, and electron-beam evaporation tools.
- Supported ultra-low-temperature experiments and quantum transport measurements.
- Completed a fast-paced two-week course "Introduction to Relativity: From Cosmic Rays to Black Holes," exploring theories of relativity, Lorentz transformations, and Einstein's field equations using linear algebra and multivariable calculus.
- Studied relativity, quantum mechanics, and particle physics, and completed independent projects on spacetime and special relativity.
Education & Resume
Mathematics & Physics: Calculus III, Linear Algebra and Linear Differential Equations, Advanced Principles of Physics I, Probability Theory, Applied Combinatorics, Mathematical Statistics, Number Theory, Numerical Methods (Fall 2026), Data Science with Python (Fall 2026)
Computer Science: Introduction to C++, Discrete Methods in Computer Science, Introduction to MATLAB, Data Structures, Introduction to Algorithms and Theory of Computing, Artificial Intelligence: Principles and Foundations, Foundations of Machine Learning (Fall 2026), Applied Python (Fall 2026)
- Dean’s List — University of Southern California (Fall 2024 – Present)
- Academic Achievement Award — University of Southern California (Fall 2025, Spring 2026)
- Outstanding Graduate with Scholarship ¥50,000 — Beijing Royal School (2024)
- High Distinction — Australian Science Olympiads Physics (2022)
- Runner-up — Asian Regional Space Settlement Competition (2022)
- Outstanding Student with Scholarship ¥2,000 — Beijing Royal School (2022)
- Outstanding Student Leader with Scholarship ¥2,000 — Beijing Royal School (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