MycoAI

Welcome to MycoAI's webpage

Using AI to uncover patterns in fungal biodiversity.

Our team focusses on developing computational techniques and employing AI to rapidly and accurately identify fungal biodiversity and functionality from environmental and clinical samples, enabling us to efficiently and scalably uncover new insights into fungal biology, ecology, and its applications in medicine, agriculture, and industry.

Please read the following interview conducted by the Utrecht Bioinformatics Center, or visit the Software/Tools and/or Publications pages to learn more about our work: Meet UBC Principal Investigator Duong Vu

Software/Tools Publications

Key figures

software tools and pipelines
7
publications describing and using our tools
17
news posts since 2020
26
citations of our fungal DNA barcode dataset when it won the Dutch Data Prize 2022
500+

Highlights

2022 Dutch Data Prize 2022, Life Sciences category 2024 One of three Best Talks at the Early Career Mycologists Symposium, IMC12 (Luuk Romeijn) 2023 Presented to Minister Dijkgraaf, ARISE 2023 Our DNA-based typification study in The Washington Post 2014–2024 Papers in Molecular Ecology Resources, Scientific Reports, Bioinformatics, Studies in Mycology 2024 PI at the Utrecht Bioinformatics Center

Blogs

All 26 posts →

Team

Meet the team →

  • Duong Vu

    Bioinformatics researcher, Westerdijk Fungal Biodiversity Institute

  • Duc Anh Nguyen

    Software engineer, Westerdijk Fungal Biodiversity Institute

  • Biao Wang

    Visiting PhD Researcher on Microbiology, Westerdijk Fungal Biodiversity Institute

  • Luka Ivkovic

    Fungal Data Scientist & Community Coordinator, Westerdijk Fungal Biodiversity Institute

  • Theofylakti Politi

    Erasmus+ Bioinformatics Intern, Westerdijk Fungal Biodiversity Institute

  • Linh Nguyen

    ICT bachelor student, Fontys University of Applied Science

We work with