Terry (Taehan) Kim
☕️ Lover.
Hi! I’m Terry (Taehan) Kim, a Computer Science student at UC Berkeley researching at the intersection of machine learning and biology. I build interpretable and generative models for biology, aiming to make biological discovery more explainable and actionable.
Recently, I’ve also become very interested in scaling strategies.
latest posts
| Feb 15, 2026 | Explainable AI (XAI) and Model Interpretability (SHAP, Integrated Gradients, and Sparse Autoencoders) |
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| Jan 10, 2026 | Diffusion Language Models Deep Dive (Part 1: Method) |
| Jan 02, 2026 | Minimum Math Review for Diffusion Language Models |
| Jan 01, 2026 | More on Parallelism |
| Dec 23, 2025 | Transformer, Scaling, and Efficiency |