About Me
Statistical Inference · Bayesian ML · Deep Learning
Hello, I'm Junhee Kim.
I am an aspiring data scientist focusing on Bayesian machine learning, deep learning, and graphical models. This blog is where I collect theory notes, implementation logs, experiment records, and research thoughts in one place.
I use this space as a working archive for probabilistic models, neural networks, and graph-based methods, with a strong emphasis on turning ideas into code and documenting the process clearly.
What I Write
Topics on This Blog
- Theory breakdowns
- Implementation and experiments
- Paper reviews
Focus Areas
Main Interests
- Bayesian Inference
- Probabilistic Deep Learning
- Statistics Theory