01
Bioinformatics
Developing computational approaches for biological data, with particular interest in network reconstruction and data-driven discovery.
Explore related work ↗ Skip to content Explore All repositories ↗↗ ↗ ↗ ↗ Browse the archive → View all posts → Interested in ideas,
MSc Student · Researcher · Builder
Junya Yang 杨钧涯
MSc student in Computer Science at The Chinese University of Hong Kong
My research focuses on bioinformatics, computational biology, and AI agents. This site brings together my research work, software projects, and a growing public collection of technical notes.
About
About me.
I am a master’s student in Computer Science at The Chinese University of Hong Kong. My current research interests center on bioinformatics, computational biology, and AI agents, with an emphasis on turning methods into useful and reproducible systems.
I learn in public. Alongside research prototypes, this website contains a growing archive of course notes, paper readings, derivations, experiments, and engineering projects. The goal is not merely to collect information, but to connect it into reusable understanding.
01Understand deeplyDerive ideas instead of memorizing them.
02Build openlyTurn concepts into reproducible code and notes.
03Connect fieldsLook for shared structure across disciplines.
Research interests
Questions I keep returning to.
An evolving set of directions reflected in my notes and repositories.
02
Computational Biology
Studying biological systems through models, algorithms, and cell-specific relationships that connect data with mechanism.
Explore related work ↗03
AI Agents
Building agentic systems that can plan, use tools, coordinate workflows, and support scientific and technical work.
Explore related work ↗Selected work
Projects built to test ideas.
CSCN Demo
A Python implementation and demonstration environment for exploring cell-specific causal network reconstruction.
PythonCausal networksBioinformatics
GAgent
Experiments in building an extensible agent system, with an emphasis on planning, tools, and practical workflows.
PythonAI agentsTool use
Overshelf
A native macOS top-edge drawer that keeps frequently used items immediately within reach.
macOSProductivityNative app
Compiler Project
A course compiler implementation that turns language theory into a working parsing and translation pipeline.
PythonCompiler designParsing
Knowledge garden
Notes that compound over time.
01
Causality
Causal structure, emergence, information, and graphical models.
→02Machine Learning
Statistical learning, Bayesian methods, models, and evaluation.
→03Computer Vision
Image formation, filtering, neural networks, and detection.
→04Systems
Operating systems, networks, compilers, and computer architecture.
→05Algorithms
Data structures, graph methods, strings, and problem solving.
→06Developer Tools
Git, containers, shells, environments, and practical workflows.
→Latest writing
Recent notes and explorations.
Let’s connect
Interested in ideas,
research, or building?
I am always happy to exchange notes, discuss a project, or meet people working on thoughtful technology.