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AI for Drug Discovery / Medical Imaging / LLM Post-training / AI Safety

M.S. Student, Structural & Cellular Science Lab, YCU

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🧬 About Me

M.S. student working across both research and engineering in AI drug discovery, medical imaging, and LLM post-training. Through research & dev internships at universities, national labs, and startups, I've built hands-on experience in bioinformatics, data science, and reinforcement learning.

  • 🔬 Research at the intersection of AI drug discovery, LLM post-training (RL / reasoning), and AI safety
  • 🏢 Research Intern @ Matsuo Institute · Research Assistant @ NII LLMC / LLM-jp · Technical Trainee @ AIST / AIRC
  • 🥈 Kaggle Competition Expert · 2× Silver — chasing Kaggle Master before I earn my Master's 🎓

🏆 Highlights

Achievement Result
🥈 Kaggle: Vesuvius Challenge – Surface Detection — nnU-Net modeling & post-processing Silver, 19 / 1391
🥈 Kaggle: CSIRO – Image2Biomass Prediction — DINOv3-based modeling (~50 experiments) Silver, 133 / 3802

🛠️ Tech Stack

Languages

Python Julia

ML / Data

PyTorch HuggingFace NumPy Pandas scikit-learn

Infra / Tools

Docker Linux HPC Git Weights & Biases


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Thanks for visiting — let's build something that matters. 🚀

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