- 📺 Data scientist & data engineer working on advertising effectiveness measurement for an ad-supported streaming (AVOD) service in Japan
- 🛠️ Engineering
- Data pipelines with BigQuery, dbt, and Terraform on Google Cloud
- 📖 Causal inference in R: textbook re-implementations
- 🤖 Machine learning
- Deep learning paper implementations in Python (PyTorch)
- ST-ResNet (citywide crowd flow prediction)
- ViT-Pytorch (vision transformer)
- FactorizationMachines-Pytorch (CTR prediction)
- NeuralCollaborativeFiltering-Pytorch (recommender system)
- Deep learning paper implementations in Python (PyTorch)
- 🧬 Background in molecular biology, reflected in de novo molecular design projects
- ⌨️ Neovim plugins, written in Lua
- oldtale.nvim (dark colorscheme)
- md-preview.nvim (markdown previewer for terminal buffers)
- ✍️ Writing about statistical modeling and causal inference at topazape.dev
- Tokyo, Japan
- topazape.dev
- @topazape
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molecular-VAE
molecular-VAE PublicImplementation of the paper - Automatic chemical design using a data-driven continuous representation of molecules
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