Evolutionary Data Science in Pathogen Phylodynamics

Welcome to the EVO-PATH Lab (Evolutionary Data Science in Pathogen Phylodynamics)! 🧬✨

We combine phylodynamics, clinical epidemiology, and data science to decode the evolutionary secrets of pathogens. By analyzing genetic data alongside clinical and epidemiological patterns, we uncover how diseases spread and adapt—ultimately helping to shape better public health strategies. 🌍🩺

🎯 Our Core Research Focus

🦠 Tracking Emerging Viruses: We use phylodynamics to understand how viruses evolve and transmit over time.
💻 AI for detecting the Unknown: We build high-throughput sequencing (HTS) pipelines with AI models to decode complex genetic signatures and hunt down novel pathogens in peta-scale data.

🏆 Featured Funding & Projects

We are proudly supported by the National Science and Technology Council (NSTC):

🔥 3-Year Grant Leveraging Artificial Intelligence and Phylodynamics to Navigate Fitness Landscapes and Detect Novel Viruses within the RNA Virosphere (NSTC 114-2221-E-182-009-MY3, Aug. 2025 – July 2028)
🔥 3-Year Grant Learning from peta-scale high-throughput sequencing data to explore the genotypic and phenotypic dynamics of emerging viruses (NSTC 111-2221-E-182-053-MY3, Aug. 2022 – July 2025)

🚀 Join Us!

We are always looking for curious and motivated Undergrads, Master’s, and Ph.D. students to join our team at Chang Gung University! 🎓

We welcome both local and international students to join our research environment and develop specialized expertise in emerging viruses.

✨ Why EVO-PATH?

🧠 Cross-Disciplinary Skills: Master phylodynmaics, AI, and omics data analysis.
📈 High-Impact Science: Work on real-world challenges that directly influence global health.
🤝 International Collaborations: Team up with international experts in molecular biology, clinical medicine, and data science.
🚀 Career Growth: We are dedicated to mentoring you for success in academia, tech, or biotech!

Who are we looking for? If you have a background (or strong interest) in clinical diagnostics and epidemiology, bioinformatics, computer and data science, statistics, life sciences, or public health, you’ll fit right in!

📧 Ready to decode the virus? Send your CV and a quick intro about your research interests to Dr. Yu-Nong Gong at yngong@mail.cgu.edu.tw! 🌟