Italy
CIBB 2026 – Computational Intelligence Methods for Bioinformatics and Biostatistics
21st International Conference at Sapienza University of Rome
Date: 2 - 4 September 2026
Timezone: Brussels
Language of instruction: English
CIBB 2026 is the 21st edition of the international conference on
Computational Intelligence Methods for Bioinformatics and Biostatistics.
The conference provides a multidisciplinary forum for researchers
working on advanced computational, statistical, and artificial
intelligence methods applied to bioinformatics, biostatistics,
and medical informatics.
CIBB brings together experts from academia and industry to discuss
methodological advances, real-world applications, and emerging
challenges in data-intensive life sciences.
The event includes peer-reviewed research contributions, invited
talks by leading scientists, and opportunities for networking and
scientific exchange.
Contact: CIBB 2026 Organising Committee Sapienza University of Rome Email: cibb2026@uniroma1.it
Keywords: bioinformatics, Biostatistics, computational intelligence, Artificial Intelligence, Machine Learning, data science, computational biology, medical informatics, life sciences
Venue: Sapienza University of Rome
City: Rome
Country: Italy
Prerequisites:
Basic knowledge of statistics, data analysis, or computational methods.
Familiarity with bioinformatics or life sciences is recommended but not mandatory.
Learning objectives:
Participants will:
- Gain an overview of state-of-the-art computational intelligence methods
applied to bioinformatics and biostatistics
- Learn about advanced methodological approaches for data-intensive
life sciences
- Understand current challenges and open problems in biomedical data analysis
- Foster interdisciplinary collaborations between computer scientists,
statisticians, and life science researchers
Organizer: Department of Statistical Sciences - Sapienza University of Rome
Host institutions: Sapienza University of Rome
Eligibility:
- Registration of interest
Target audience: Researchers, PhD Students, Postdoctoral Researchers, Data Scientists, Bioinformaticians, Biostatisticians, Computational biologists
Scientific topics: Bioinformatics, Computational biology, Machine learning, Data architecture, analysis and design, Statistics and probability, Medical informatics
Activity log
