About Me
Hi! I’m Zuolong Zhang 👋
I am an master student in Electronic Information Engineering at Henan University, set to graduate in July 2025. My work sits at the exciting intersection of artificial intelligence, computational pharmacology, and biomedical language understanding—with a mission to accelerate drug discovery and make precision medicine more intelligent and accessible.
🔬 Research Vision
I believe the next breakthroughs in medicine won’t come from test tubes alone—but from algorithms that can reason over biological knowledge, predict drug–target interactions, and explain therapeutic outcomes in human-understandable ways. My research explores two synergistic paths:
- AI for Drug Discovery: Building deep learning models (e.g., GNNs, multimodal fusion) to predict drug combinations, side effects, and repurposing opportunities.
LLMs in Medicine: Adapting and aligning large language models to biomedical knowledge bases, clinical notes, and scientific literature—so they can assist researchers, not just generate text.
🏆 Recognitions & Competitions
- 🎓 National Scholarship (China, 2024)
- 🌟 Hou Jingru Scholarship (Top 100 out of 16,115 graduates at Henan University, 2024)
- 🥇 1st Prize, National AI Application Scenario Innovation Challenge (2024)
- 🥇 1st Prize, 6th National College Students’ Intelligent Technology Application Competition (2024)
- 🥈 2nd Prize, Huawei Cloud Developer Competition (2024)
- 🥉 National Award, “Challenge Cup” Business Plan Competition (2024)
🗣️ Oral Presentation at ISMB 2024 , Montreal – one of the top conferences in computational biology
💻 Tech Stack & Interests
- Languages: Python (primary), C++, Javascript, Java
Frameworks: PyTorch, DGL/PyG, Scikit-learn
🌍 What’s Next?
I’m deeply committed to creating work that serves the community
Because breakthroughs matter most when they leave the lab and enter lives. —
📬 Let’s collaborate!
Feel free to reach out via email.
I’m always open to research discussions, project ideas!
“Medicine is a science of uncertainty and an art of probability.” — Sir William Osler
My goal: reduce that uncertainty with intelligent machines.
