About Me | Yu, Yao-Hsing 尤耀星 - Developer & Data Enthusiast

Hello, I'm Yu, Yao-Hsing 尤耀星. I'm a passionate developer, data enthusiast, and creative problem solver driven by a deep curiosity about technology and its potential. My journey started with exploring the intricacies of mathematics and computer science, and I continue to blend art and science to create innovative solutions.

Education

Taipei Municipal Chien Kuo High School

Currently diving into advanced computer science, applied mathematics, and data analytics. This academic environment inspires me to push the boundaries of what's possible and constantly challenge myself.

Skills & expertise

Skills & Expertise

01

Mathematical Research

Random Matrix Theory, Stieltjes Transform, M-P Law, spectral distributions

02

Machine Learning & AI

PyTorch, HuggingFace transformers, on-device LLMs, scikit-learn

03

iOS & Apple Platforms

Swift, SwiftUI, iOS / iPadOS / macOS apps, HealthKit, CarPlay, Metal

04

Systems & Cross-Compilation

Native iOS arm64 builds, Rust (PyO3), C / C++ / Fortran, Metal GPU bridges

05

Software Engineering

Windows Store apps, GUI applications, Python packaging, web development

06

Data Science & Visualization

Data analysis, Manim animations, matplotlib / Plotly, FFmpeg / Cairo

Interests

I'm fascinated by the convergence of machine learning, mathematics, and coding — especially pushing heavy compute (PyTorch, transformers, LaTeX, Manim) onto devices people actually carry. I spend my time researching random matrix theory, building offline-first apps, and cross-compiling "impossible" libraries to iOS.

On-Device AI Random Matrix Theory iOS Development Cross-Compilation Mathematical Animation Data Visualization

Experience & timeline

Experience & Timeline

2026

Shipped 6 apps across the App Store, Mac App Store, and Microsoft Store

ManimStudio (Windows + iOS), Generalized Covariance Matrix, EigenDenoise (macOS), GPS-location-app, and t-SNE Visualization.

Built python-ios-lib — a full Python 3.14 runtime for iOS/iPadOS with 30+ native libraries, including the first public native PyTorch build on iOS (with a Metal GPU bridge for a 2–10× on-device training speedup), HuggingFace transformers, and Rust-based tokenizers.

Built CodeBench — a fully offline developer / scientific / AI workstation for iPad & Mac: Monaco editor, integrated terminal, C/C++/Fortran, on-device pdflatex, and local LLMs.

Published 3 PyPI packages — ollama-installer, narrate, and rmt-denoise (random-matrix image denoising).

2025

S. T. Yau High School Science Award — Grand Finals (Bronze Medal)

2025 丘成桐中學科學獎總決賽

On the limiting spectral distributions of products of sample covariance matrices with deterministic sequences — deriving explicit support bounds for two-point limiting measures via the Intermediate Value Theorem and Stieltjes transform inversion.

Awarded the Bronze Medal at the Grand Finals, with applications in statistics, signal processing, and wireless communications.

S. T. Yau High School Science Award — Asia Regional (Silver Medal) — Earned the Silver Medal at the Asia regional competition, advancing to the Grand Finals.

Download research paper (PDF)

2023 – 2024

Research & first store releases

Studying at Taipei Municipal Chien Kuo High School while building research projects in random matrix theory and AI, and publishing my first applications to the Microsoft Store.

2021 – 2023

Mathematical modeling projects

Worked on multiple projects involving mathematical modeling and spectral distribution analysis.

2019 – 2021

Self-study & exploration

Explored various programming languages and technologies through personal projects and self-study.