About Me
Welcome to My Blog!
Hello!
I am Junhee Kim, an aspiring Data Scientist focusing on
Bayesian ML, deep learning, and graphical models.
Here, I explore probabilistic models, neural networks,
and graph-based methods through theory and hands-on code.
This blog covers topics centered on Bayesian probabilistic models, machine learning, and graph-based methods, including:
- Theory breakdowns
- Code reviews
- Paper reviews
Key Topics
- Bayesian Inference (MCMC, Variational Inference)
- Probabilistic Deep Learning (PyMC3, Pyro)
- Graphical Models & Graph Neural Networks
- Spatio-Temporal Modeling
- And more
Education & Affiliation
Education
- B.S. in Statistics & SCSC, Inha University (Feb 2019 – Feb 2025)
- M.S. candidate in Statistics & Data Science, Inha University (Feb 2025 – present)